Abstract: A system includes a shift register to store data samples, where the shift register includes a cell under test (CUT), a left guard cell, a right guard cell, a left window, and a right window. The system includes two sets of comparators to compare incoming data samples with data samples in the left window and the right window to compute ranks of the incoming data samples. The system includes a sorted index array to store a rank of the data samples in the shift register. The system includes a selector to select a Kth smallest index from the sorted index array and its corresponding data sample from the shift register. The system includes a target comparator, where the first comparator input receives a data sample from the CUT and the second comparator input receives a Kth smallest data sample, and the comparator output indicates a CFAR target detection.

Abstract: The present provides a radar apparatus and an antenna apparatus for the radar apparatus. Two transmission antennas disposed on both sides of the transmission antenna set may be arranged apart from each other by a predetermined vertical distance in a first direction perpendicular to the ground, and the four receiving antennas may be disposed apart from each other by a predetermined horizontal distance, so that the vertical information and the horizontal information of the object can be easily obtained in the long range detection mode and the short range detection mode.

Abstract: A pulsed radar system is presented that includes a sliding window and DC offset. A method of pulsed DC radar operation, comprising an operation state, the operation state including initializing parameters for a current integration window; providing timing for the current integration window to an integrating filter based from a transmit pulse; providing a DC offset associated with the current integration window; and incrementing the current integration window to the next integration window to be timed from a next transmit pulse.

Abstract: A system for estimating a parameter of an object includes a receiver configured to detect a return signal of a radar signal, and a processing device configured to sample the return signal to generate a series of signal samples, partition a time frame into a plurality of successive segments k, and for each segment k, apply a Doppler Fourier transform and calculate a complex value yk as a function of Doppler frequencies fD. The processing device is also configured to calculate an index based on an acceleration hypothesis and a velocity hypothesis of a set of hypotheses, and for each segment, select one or more Doppler frequency bins based on the index and extract components of the complex value yk (fD) associated with each selected Doppler frequency bin. The processing device is further configured to calculate a velocity and acceleration spectrum, and estimate an object parameter based on the spectrum.

Abstract: The invention provides an ultrasound system including an ultrasound transducer array and a processor. The ultrasound transducer array comprises a plurality of transducer elements adapted to conform with a subjects body. Further, at least two ultrasound transducer elements of the plurality of transducer elements are adapted to acquire a plurality of ultrasound signals from a region of interest at different orientations relative to said region of interest. The processor is adapted to receive ultrasound signals acquired by the ultrasound transducer array. The processor is further adapted to partition the plurality of ultrasound signals according to a signal depth and, for each ultrasound signal partition, calculate a Doppler power. For each ultrasound signal, the processor identifies a depth of a fetal heartbeat based on the Doppler power of each ultrasound signal partition and identifies a fetal heart region based on the identified fetal heartbeat and a location of the at least two ultrasound transducers.

Abstract: One or more aspects of this disclosure relate to the usage of an impulse radio ultra-wideband (IR-UWB) radar to reconstruct a cross-sectional image of subject in a noninvasive fashion. This image is reconstructed based on the pre- and post-processing of recorded waveforms that are collected by the IR-UWB radar, after getting reflected-off the subject. Furthermore, a novel process is proposed to approximate the different tissues' dielectric constants and, accordingly, reconstruct a subject' cross-sectional image.

Abstract: The disclosed systems, structures, and methods are directed to an object detection system, employing a receiver configured to receive a signal reflected from an object, an analog-to-digital converter (ADC) configured to convert the received signal into a digital signal, a pre-processor configured to improve a signal-to-noise (SNR) of the digital signal and to generate a pre-processed signal corresponding to the digital signal, a parameter extractor configured to calculate a number of reference cells M and a multiplication factor K0, and a Constant False Alarm Rate (CFAR) processor configured to analyze a cell-under-test (CUT) and M reference cells in accordance with the number of reference cells M and the multiplication factor K0 to detect the presence of the object.

Abstract: A system for virtual Doppler and/or aperture enhancement, preferably including one or more transmitter arrays, receiver arrays, and/or signal processors, and optionally including one or more velocity sensing modules. A method for virtual Doppler and/or aperture enhancement, preferably including transmitting a set of probe signals, receiving a set of reflected probe signals, and/or analyzing the set of received probe signals.

Abstract: A method for processing radar data is described herein. In accordance with one embodiment, the method includes the calculation of a Range Map based on a digital radar signal received from a radar receiver. The Range Map includes spectral values for a plurality of discrete frequency values and a plurality of discrete time values, wherein each spectral value is represented by at least a first parameter. Further, the method includes applying an operation to at least the first parameters in the Range Map for at least one discrete frequency value to smooth or analyze at least a portion of the Range Map.

Abstract: The application discloses a method for verifying the accuracy of a guided-wave radar measuring device used in process automation. The method includes sending measuring radar waves to a built-in verification circuit of a known and verified length and performing time-of-flight analysis on the measuring radar wave reflected by the built-in verification circuit. The application also discloses a guided-wave radar device having a built-in verification circuit.

Abstract: An accelerator device for use in generating a list of potential targets in a radar system, such as an anti-collision radar for a motor vehicle, may process radar data signals arranged in cells stored in a system memory. A cell under test in is identified as a potential target if the cell under test is a local peak over boundary cells and is higher than a certain threshold calculated by sorting range and velocity radar data signals arranged in windows. The cells identified as a potential target are sorted in a sorted list of potential targets. The accelerator device may include a double-buffering local memory for storing cell under test and boundary cell data; and a first and a second sorting unit for performing concurrent sorting of the radar data signals arranged in windows and the cells identified as a potential target in pipeline with accesses to the system memory.

Abstract: A radar system includes an image forming circuit that provides a two-dimensional image of an operating environment. The image includes pixel elements representative of the operating environment. The system includes at least one filter configured to convert the two-dimensional image into a clutter classification map of clutter regions. A predetermined number of clutter regions are selected as training cells for a predetermined cell-under-test (CUT). A space-time adaptive processor (STAP) is configured to derive a weighted filter from training cell data. The STAP applies the weighted filter to a digital return signal associated with the predetermined CUT to provide a STAP-filtered digital return signal having the clutter signal components substantially eliminated therefrom.

Abstract: Loud sounds with fast rise times, like gunfire and explosions, can cause noise-induced hearing loss (NIHL). Unfortunately, current models do not adequately explain how impulsive sounds cause NIHL, which makes it difficult to predict and prevent NIHL on battlefields and other hostile or rugged environments. Fortunately, the impulsive sounds experienced by soldiers and others working in rugged environments can be recorded using a compact, portable system that acquires, digitizes, and stores high-bandwidth audio data. An example of this system can be mounted on a helmet or other article and used to record hours of audio data at a bandwidth of 20 kHz or higher, which is broad enough to capture sounds with rise times less than 50 ms. An analog-to-digital converter (ADC) digitizes these broadband audio signals at rate of 40 kHz or higher to preserve the impulse information. A processor transfers the digitized samples from a buffer to a memory card for later retrieval using an interrupt-driven processing technique.

Abstract: Integrated circuits may include a constant false alarm rate (CFAR) detection circuit, which may identify targets among clutter and noise in a range-Doppler map. The CFAR detection circuit may compute power values for each cell in the range-Doppler map and scan the range-Doppler map cell by cell. For this purpose, the CFAR detection circuit may compute a target value for a cell-under-test and surrounding cells and a noise value for one or more regions in local proximity of the cell-under-test on the range-Doppler map. For example, the CFAR detection circuit may perform a two-dimensional filtering to compute the target value and compute a sum of accumulated power values weighted by predetermined coefficients. The predetermined coefficients may taper at edges of the range-Doppler map and/or at edges of the regions. The CFAR detection circuit may declare a target based on a comparison of the target value and noise value.

Abstract: The invention provides a system for speech keyword detection and associated method. The system includes a speech keyword detector, an activity predictor and a decision maker. The activity predictor obtains sensor data provided by a plurality of sensors, and processes the sensor data to provide an activity prediction result indicating a probability for whether a user is about to give voice keyword. The decision maker processes the activity prediction result and a preliminary keyword detection result of the speech keyword detection to provide a keyword detection result.

Abstract: Loud sounds with fast rise times, like gunfire and explosions, can cause noise-induced hearing loss (NIHL). Unfortunately, current models do not adequately explain how impulsive sounds cause NIHL, which makes it difficult to predict and prevent NIHL on battlefields and other hostile or rugged environments. Fortunately, the impulsive sounds experienced by soldiers and others working in rugged environments can be recorded using a compact, portable system that acquires, digitizes, and stores high-bandwidth audio data. An example of this system can be mounted on a helmet or other article and used to record hours of audio data at a bandwidth of 20 kHz or higher, which is broad enough to capture sounds with rise times less than 50 ms. An analog-to-digital converter (ADC) digitizes these broadband audio signals at rate of 40 kHz or higher to preserve the impulse information. A processor transfers the digitized samples from a buffer to a memory card for later retrieval using an interrupt-driven processing technique.

Abstract: A radar detector suppresses alerts from vehicle guidance systems, by sweeping for a consistent radar signal; the center frequency of the signal is stored and the detector suppresses warnings of radar signals near that frequency. The detector uses an enhanced method for suppression of signals near a known location of a false signal source; in the event the detector detects a radar signal and finds a matching stored false signal, the detector will first compare the strength of the received signal to a threshold strength that is computed based upon the distance of the detector from the stored false signal, and will only suppress signals below threshold. The detector includes a camera directed to the road in the vicinity of the vehicle. Image data from the camera is processed to identify police vehicles as identified by flashing lights, a profile including a rooftop light bar and/or highly contrasting colored panels.

Abstract: A target object detection device is provided. The device includes a transmitter for transmitting at least one transmission wave in a predetermined azimuth, an echo signal receiver for receiving echo signals of the transmission waves, an echo signal suppressor for suppressing levels of the echo signals corresponding to sampling positions, a target object detector for detecting the target object(s) based on the level-suppressed echo signals, a first updater for comparing amplitude level(s) of echo signals of sampling positions, with the threshold that is set in association with the first distance, and determining to update the values with a new threshold and a new suppression value, and a second updater for comparing amplitude level(s) of echo signals of sampling positions, with the threshold that is set in association with the second distance, and determining to update the values with a new threshold and a new suppression value.

Abstract: A radar device is provided, which includes a receiver for transmitting a pulse-shaped radio wave and receiving a corresponding reflection signal as a reception signal, a Doppler processor for generating Doppler processed signals that are signals obtained by separating the reception signal according to Doppler frequencies or signals obtained based on the signals separated, an improvement level calculator for calculating a signal improvement level by comparing an amplitude value of the reception signal with amplitude values of the Doppler processed signals, a signal synthesizer for synthesizing the reception signal and the Doppler processed signals based on the signal improvement levels, and a display processor for generating a radar image based on the synthesized signal.

Abstract: Sidelobe suppression methods and systems for use in processing radar video streams generated by rotational radar antenna scanners. The sidelobe suppression methods function in parallel with traditional Sensitivity Control (SC) processing by selectively reducing sensitivity where necessary depending on sidelobe suppression schemes that can be either directional, omni-directional (non-directional), or a combination of these.

Abstract: High speed serial links are used in many applications as they provide high throughput with limited number of signals and input/output pins. Normally, the high speed links are established once at power up and rarely taken down except for maintenance purposes. When the high speed serial links are used for battery operated devices, the power consumption of these links becomes an important issue. Dynamic high speed serial link establishment and shutdown techniques are used in such application to keep the power consumption low. Frequent link establishment and shutdown may cause occasional link establishment failures leading to latencies and even complete failure to communicate between two entities. A method and apparatus are disclosed that enable robust link establishment for more reliable operation and reduced latency.

Abstract: Various embodiments are described herein for a detector and method that perform various types of CFAR detection on radar data including knowledge-aided CFAR detection, hybrid-CFAR detection and simplified censored CFAR detection. Knowledge about the type of local environment of a Cell Under Test and the proximity of the Cell Under Test to various types of noise can be used to select particular types of CFAR detection methods or combinations thereof. In other instances, certain parameters of a CFAR detection method can be adapted based on this knowledge.

Abstract: A network resource can be operatively coupled to personal electronic devices that include or are operatively coupled to micro-impulse radars (MIRs).

Abstract: A land-based Smart-Sensor System and several system architectures for detection, tracking, and classification of people and vehicles automatically and in real time for border, property, and facility security surveillance is described. The preferred embodiment of the proposed Smart-Sensor System is comprised of (1) a low-cost, non-coherent radar, whose function is to detect and track people, singly or in groups, and various means of transportation, which may include vehicles, animals, or aircraft, singly or in groups, and cue (2) an optical sensor such as a long-wave infrared (LWIR) sensor, whose function is to classify the identified targets and produce movie clips for operator validation and use, and (3) an IBM CELL supercomputer to process the collected data in real-time. The Smart Sensor System can be implemented in a tower-based or a mobile-based, or combination system architecture. The radar can also be operated as a stand-alone system.

Abstract: In one aspect, a method to identify and remove a false detection includes receiving a detection from a constant false alarm rate (CFAR) processor, performing a first similarity measure on adjacent coherent integration time values (CITs) corresponding to the detection, performing a second similarity measure on neighbor CITs corresponding to the detection, determining if at least one of the first or second similarity measure is below a threshold and discarding the detection if at least one of the first or second similarity measures is below the threshold.

Abstract: An embodiment relates to a method for processing radar signals. The radar signals may include digitized data received by at least two radar antennas. The method may include determining CFAR results on FFT results based on data received by a first antenna, and applying the CFAR results to FFT results based on data received by a second antenna.

Abstract: There is provided a sensor for use generally within the signal processing unit of a radar system. The sensor enables entity returns to be classified according to the velocity of the entity and thus allows returns to be processed according to classification. In particular, the sensor comprises a first processing means that filters an input signal using a narrow-band notch filter to output a wideband output. In particular, the sensor comprises a second processing means that filters an input signal using a wide-band notch filter to output a narrowband output. The invention provides for the comparison of the outputs to determine how the entity return is to be classified.

Abstract: In one aspect, a method to identify and remove a false detection includes receiving a detection from a constant false alarm rate (CFAR) processor, performing a first similarity measure on adjacent coherent integration time values (CITs) corresponding to the detection, performing a second similarity measure on neighbor CITs corresponding to the detection, determining if at least one of the first or second similarity measure is below a threshold and discarding the detection if at least one of the first or second similarity measures is below the threshold.

Abstract: This disclosure provides a method of detecting a target object by receiving reflection echoes of detection signals transmitted sequentially from a revolving antenna, and by detecting a target object based on detection data resulted from sampling reception signals at a predetermined time interval. The method comprises temporarily storing the detection data within a predetermined geographical range, and identifying the type of the reflection echo based on a change between values of the detection data at physically-close locations within the predetermined geographical range.

Abstract: An embodiment of the present invention discloses a radar apparatus and an antenna apparatus, and more particularly, an integrated radar apparatus and an integrated antenna apparatus which make it possible to attain angle resolution with high definition, to decrease size and the number of devices, to integrate long and mid-range radar function and short range radar function.

Abstract: Described are radar systems and methods. A transmit pulse is generated by the radar system. A first portion of the transmit pulse is processed by the radar system to form transmit pulse data. A second portion of the transmit pulse is directed by the radar system into a monitored volume. A return signal is received by the radar system, the return signal at least partially comprising a portion of the second portion of the transmit pulse reflected by one or more objects in the monitored volume. The return signal is processed, by the radar system, to form return signal data.

Abstract: A target object detection device is provided. The device includes a transmitter for transmitting at least one transmission wave in a predetermined azimuth, an echo signal receiver for receiving echo signals of the transmission waves, an echo signal suppressor for suppressing levels of the echo signals corresponding to sampling positions, a target object detector for detecting the target object(s) based on the level-suppressed echo signals, a first updater for comparing amplitude level(s) of echo signals of sampling positions, with the threshold that is set in association with the first distance, and determining to update the values with a new threshold and a new suppression value, and a second updater for comparing amplitude level(s) of echo signals of sampling positions, with the threshold that is set in association with the second distance, and determining to update the values with a new threshold and a new suppression value.

Abstract: A sensor is used to identify detections of discrete objects in a search grid. An image grid of the detections is created. The image grid is analyzed to identify a pattern of detections. The pattern of detections is used to identify objects of interest.

Abstract: This disclosure provides a fake image reduction device, which includes a target object detection module for being inputted with an echo signal from an antenna that transmits an electromagnetic wave and receives the echo signal, measuring a level of the echo signal to detect a target object, a reflecting body identifying module for identifying the detected target object as a reflecting body, and a fake image area setting module for setting a fake image area according to a distance and an azimuth direction from a transmitting position of the electromagnetic wave to the identified reflecting body.

Abstract: This disclosure provides a method of setting a threshold according to a level of an echo signal of an unused component. The echo signals are generated by transmitting and receiving a radio wave with an antenna while the antenna revolves. The method of setting the threshold includes calculating a difference value between a level of the echo signal at an observing position and a level of the echo signal at a position comparatively on the antenna side and close to the observing position, selecting a process for setting a threshold from either one of a first threshold setting process and a second threshold setting process according to the difference value, and updating the threshold for the observing position by using the selected threshold setting processing.

Abstract: Various embodiments are described herein for a detector and method that perform various types of CFAR detection on radar data including knowledge-aided CFAR detection, hybrid-CFAR detection and simplified censored CFAR detection. Knowledge about the type of local environment of a Cell Under Test and the proximity of the Cell Under Test to various types of noise can be used to select particular types of CFAR detection methods or combinations thereof. In other instances, certain parameters of a CFAR detection method can be adapted based on this knowledge.

Abstract: A system and method of detecting moving targets comprises transmitting electromagnetic waves rays from a plurality of transmitters at sequential; receiving reflected waves into a plurality of receivers after each transmission; the compilation of the reflected waves from the plurality of receivers for each transmission representing a data frame; forming a signal that monitors changes between the two sets of frames; at least one processor operating to process and compare frames; forming a difference image using a back-projection algorithm; scanning the difference image using a constant false alarm rate (CFAR) window; the CFAR window scanning the entire difference image and identifying a list of points of interest and eliminating the sidelobe artifacts present in the difference image thereby creating CFAR images; processing the CFAR images using morphological processing to create a morphological image; determining the number of clusters present in the morphological image; using K-means clustering to indicate the

Abstract: A method of reducing cross-range streaking in a radar image includes determining a number of on-pixels in each line of at least a portion of the radar image, determining which lines have a determined number of on-pixels that exceeds a threshold number, and removing the on-pixels of lines having the determined number of on-pixels exceeding the threshold number.

Abstract: A detection system includes a detection processor configured to receive a frame of image data that includes a range/Doppler matrix, perform a rate-of-change of variance calculation with respect to at least one pixel in the frame of image data, and compare the calculated rate-of-change of variance with a predetermined threshold to provide output data. The range/Doppler matrix may include N down-range samples and M cross-range samples. The detection processor may calculate a rate-of-change of variance over an N×M window within the range/Doppler matrix.

Abstract: A land-based smart sensor system and several system architectures for detection, tracking, and classification of people and vehicles automatically and in real time for border, property, and facility security surveillance is described. The preferred embodiment of the proposed smart sensor system is comprised of (1) a low-cost, non-coherent radar, whose function is to detect and track people, singly or in groups, and various means of transportation, which may include vehicles, animals, or aircraft, singly or in groups, and cue (2) an optical sensor such as a long-wave infrared (LWIR) sensor, whose function is to classify the identified targets and produce movie clips for operator validation and use, and (3) a supercomputer to process the collected data in real-time. The smart sensor system can be implemented in a tower-based or a mobile-based, or combination system architecture. The radar can also be operated as a stand-alone system.

Abstract: A radar device includes an antenna, from which a detection signal is transmitted while the antenna being rotated and by which a reflective wave of the transmitted detection signal is received to detect echo data, wherein image data is generated based on the detected echo data, a continuity detecting module for detecting a planar continuity of the currently detected echo data with respect to a pixel concerned in the image data, a behavior data generating module for generating behavior data indicative of a behavior of the echo data for a predetermined number of scans of the past in the pixel concerned based on behavior determination data, and an echo kind determining module for determining a kind of the echo data of the pixel concerned based on the planar continuity and the behavior data.

Abstract: The present invention relates to a detecting device for detecting an SSR signal having a characteristic structure. The detecting device comprises filtering means matched to the characteristic structure of the SSR signal, and means for maintaining a false-alarm rate at a substantially constant value. The characteristic structure of the SSR signal comprises either a preamble or an initial pulse and a final pulse separated by a fixed dwell time. The means for maintaining a false-alarm rate at a substantially constant value comprise computing means configured to compute a detection threshold on the basis of a signal supplied by the filtering means, and decision means configured to detect the SSR signal on the basis of the detection threshold and of the signal supplied by the filtering means.

Abstract: A system and method for locating a moving target behind a wall or barrier comprising: providing a plurality of images of the region of interest; selecting a reference image from the plurality of images; forming a predetermined number of difference images by subtracting the absolute value of the pixels of the reference image from the absolute values of pixels in a predetermined number of the plurality of images; eliminating negative pixel values in the predetermined number of difference images; minimizing the side lobes to form a combined difference image for each reference frame, selecting another reference image from the plurality of images and performing the steps of forming a plurality of difference images, eliminating negative pixel values, averaging the resulting predetermined number of difference images and minimizing the side lobes for each selected reference image to form a set of combined difference images which contain the moving target signature.

Abstract: A system and method of detecting moving targets comprises transmitting electromagnetic waves rays from a plurality of transmitters at sequential; receiving reflected waves into a plurality of receivers after each transmission; the compilation of the reflected waves from the plurality of receivers for each transmission representing a data frame; forming a signal that monitors changes between the two sets of frames; at least one processor operating to process and compare frames; forming a difference image using a back-projection algorithm; scanning the difference image using a constant false alarm rate (CFAR) window; the CFAR window scanning the entire difference image and identifying a list of points of interest and eliminating the sidelobe artifacts present in the difference image thereby creating CFAR images; processing the CFAR images using morphological processing to create a morphological image; determining the number of clusters present in the morphological image; using K-means clustering to indicate the

Abstract: A detection system and method. The inventive system includes an arrangement for receiving a frame of image data; an arrangement for performing a variance calculation with respect to at least one pixel in the frame of image data; and an arrangement for comparing the calculated variance with a predetermined threshold to provide output data. In the illustrative embodiment, the frame of image data includes a range/Doppler matrix of N down range samples and M cross range samples. In this embodiment, the arrangement for performing a variance calculation includes an arrangement for calculating a variance over an N×M window within the range/Doppler matrix. The arrangement for performing a variance calculation includes an arrangement for identifying a change in a standard deviation of a small, localized sampling of cells. In accordance with the invention, the arrangement for performing a variance calculation outputs a variance pixel map.

Abstract: The invention relates to the general field of the detection, notably the radar detection, of mobile or fixed targets. It consists of a method making it possible mainly to qualify the blips supplied by the processing subsystem of the detection system before the latter are analyzed to generate tracks, each track being assumed to represent the trajectory of a moving object that has been detected. According to the invention, an analysis duration is considered, and all of the blips detected during this period are considered. These blips are divided up into subsets, each subset corresponding to the blips that, during the analysis duration, have been detected in one and the same analysis channel defined by an initial position and a speed vector. The subsets formed in this way are then grouped together, one and the same group combining the subsets comprising blips for which the combined assertion of a plurality of attributes is verified.

Abstract: This disclosure provides a method of detecting a target object by receiving reflection echoes of detection signals transmitted sequentially from a revolving antenna, and by detecting a target object based on detection data resulted from sampling reception signals at a predetermined time interval. The method comprises temporarily storing the detection data within a predetermined geographical range, and identifying the type of the reflection echo based on a change between values of the detection data at physically-close locations within the predetermined geographical range.

Abstract: Described herein is a method of preventing false detections in sensors pulse-Doppler radar mounted on a moving platform. The method comprises filtering each received burst using Doppler filtering to split each received burst into at least a fast channel and one or more slow channels. The slow channel outputs are then used to derive compensation values for the fast channel. In particular, a zero Doppler slow channel is used to derive predicted surface clutter residue information, and a near zero Doppler slow channel is used to derive additional false alarm control attenuation information. Both the predicted surface clutter residue and the false alarm control attenuation information is used to apply compensation to the fast channel and a comparison is done to select the lower of the two values to generate an output signal.

Abstract: A system and method for providing radar signal detection in a communications system. In an example method, a raw energy detect signal is received and analyzed to determine if the raw energy detect signal contains a valid radar pulse. A bit is stored in a bit sequence storage device such that the bit has a first value if a valid radar pulse was detected or a second value indicating that a valid pulse was not detected. A set of bits in the bit sequence storage device are accessed to determine if a plurality of waveform-indicating locations in the bit sequence storage device includes valid pulses. In another aspect of the invention, a system detects a radar signal in a communications device. The system includes a pulse detector to detect pulses in a raw energy signal having a pulse width within a predetermined minimum and maximum pulse width. The system includes a frequency detector having a bit sequence storage device to store the bits output by the pulse detector.

Abstract: A method for processing returns from a sensor, such as a radar system, in order to identify targets is provided. The method uses a track before detect routine to integrate data from several scans in order to give better discrimination. In running the track before detect routine however a number of possible target motions are postulated and the data combined accounting for such motions. A result above a threshold may then be indicative to a target present and moving with the postulated velocity. The method gives more accurate target detection as the combined data at the correct target motion postulate is more consistent than transient noise and clutter. Once a target has been identified it is preferably removed from the data set in searching for additional targets.