Abstract: An electronic device comprises: a transmission antenna configured to transmit transmission waves; a reception antenna configured to receive reflected waves resulting from reflection of the transmission waves; and a controller. The controller is configured to detect an object reflecting the transmission waves, based on a transmission signal transmitted as the transmission waves and a reception signal received as the reflected waves. The controller is configured to classify a detection result of the object reflecting the transmission waves depending on a degree of certainty, and output the classified detection result.

Abstract: The embodiment of the present disclosure provides a deep neural network (DNN)-based multi-target constant false alarm rate (CFAR) detection method. The method includes: obtaining target values to be measured based on radar IF (IF) signals to be detected, the target values to be measured including a measured frequency value and a measured intensity value of the radar IF signals; obtaining peak sequences based on the target values to be measured; generating a target detection result by processing the peak sequences based on a DNN detector, the DNN detector being a machine learning model; generating approximated maximum likelihood estimation (AMLE) of a scale parameter based on an approximated maximum likelihood estimator; generating a false alarm adjustment threshold based on a preset false alarm rate and the AMLE; and generating a constant false alarm detection result by processing the target detection result based on the false alarm adjustment threshold.

Abstract: Techniques of machine learning of a radar are disclosed, where the radar has a plurality of antennas that are arranged on an antenna array. In an example, a method of machine learning includes obtaining a real training sample from a first real target in field of view of the radar, where the real training sample includes a plurality of first real data signals, where each of the first real data signals are obtained from a corresponding antenna from amongst the plurality of antennas. The method further includes deriving a synthetic training sample by manipulating the plurality of first real data signals to simulate a rotation of the first real target about a pre-determined axis of the antenna array.

Abstract: A method of assessing the effectiveness of an electronic countermeasure (ECM) applied against an unknown, ambiguous, or unresponsive radar threat includes monitoring changes in a radar-associated factor while applying the ECM and determining if the ECM is disrupting the hostile radar. The radar-associated factor can be a weapon that is controlled by the radar threat, and assessing the ECM can include determining whether the weapon is misdirected due to applying the ECM. Or the radar-associated factor can be a feature of an RF waveform emitted by the radar threat, and assessing the ECM can include determining if the feature is changed due to applying the ECM. Continuous changes in the feature can indicate unsuccessful attempts to mitigate the ECM. Return of the feature to a pre-threat state can indicate disruption of the radar. The ECM can be selected from a library of countermeasures pre-verified as effective against known threats.

Abstract: The present invention provides an in-vehicle passenger detection system and method using an Ultra-Wide Band radar. The present invention processes the values collected using an Ultra-Wide Band radar in the time domain, so that it is possible to detect passengers in a vehicle faster than the time required to process the collected values in the frequency domain using a conventional Ultra-Wide Band radar. Also, the present invention detects a large motion, such as a passenger's hand or foot movement in a vehicle, and a small motion, such as a passenger breathing quietly, using separate data processing procedures, respectively, so that faster and more accurate passenger detection is possible.

Abstract: Approaches, techniques, and mechanisms are disclosed for range data compression. According to one embodiment, a current range data frame for a current time point is generated. Each current range data cell in the current range data frame includes current ranges representing points in a point cloud in a 3D space for the current time point. Accumulated prior ranges in an accumulated prior range buffer are propagated from a prior time point to the current time point. Current ranges in the current range data frame are compared with the propagated accumulated prior ranges to determine range differences between the current ranges and the propagated accumulated prior ranges. A proper subset of current ranges in the set of current ranges is identified based on the range difference. The proper subset of current ranges is included in a range data signal excluding other current ranges not in the proper subset.

Abstract: A device for a radar sensor is disclosed, the device comprising: transmission circuitry configured to generate transmission signals with a linear frequency chirp modulation in a predetermined frequency band for output to a radar antenna; reception circuitry configured to receive reflection signals corresponding to reflection of the transmitted radar signals from one or more physical objects; and control circuitry configured to select a frequency range within said predetermined frequency band and/or a timing pattern for said transmission signals; wherein said device is configured to: receive a further signal from a further radar sensor; determine, from said further signal, a frequency range and/or timing pattern in use by said further radar sensor for transmission of further transmission signals; and select a frequency range within said predetermined frequency band and/or a timing pattern for said transmission signals which does not conflict with the frequency range and/or timing pattern of said further transm

Abstract: A radar device may include a radar receiver to receive a radio frequency (RF) radar signal and generate a digital signal based on the RF radar signal. The digital signal may comprise a plurality of signal segments. The radar device may include a neural network comprising a plurality of layers to process the plurality of signal segments. Each layer of the plurality of layers may have one or more neurons. The plurality of layers may process the plurality of signal segments using weighting factors having values selected from a predetermined set of discrete values. At least one neuron in an output layer of the plurality of layers may provide an output value that indicates whether a respective signal segment or a sample, associated with the at least one neuron, is overlaid with an interfering signal.

Abstract: A radar sensor having at least one antenna structure and at least one coupling structure, which is designed to couple substrate waves out of an antenna substrate used as a carrier for the antenna structure and the coupling structure, and to emit them as coupled waves into an emission region. The radar sensor has an absorber which is situated in the emission region in order to absorb the coupled waves.

Abstract: This invention describes a Spatial Intelligence System that provide radio positioning/navigation with additional spatial data in support of automation, machine learning and inference-based systems. More specifically and in particular, the present invention, is such a radio positioning/navigation system that integrates, correlates with or obviates the need of the global navigation satellite systems (GNSS) with a Pulsed Wireless Location System (PWLS) to provide positioning/navigation/timing data either within a line-of-sight barrier using an ad-hoc coordinate system, a direct line of sight of GNSS beacon geographic coordinate system or a ad-hoc translation to geographic coordinate system. The system generically offers the ability to use a low cost tag or location device with anchor processing or a higher cost, higher capability tag or location device with local processing simultaneously.

Abstract: The disclosure provides a method for estimating the nondirectional wave spectrum from the sea echoes of multiple HF radar frequencies. The method includes: dividing the radar detection area into a plurality of fan-shaped units at an equal range interval and angle interval according to the distance resolution and the angular resolution of an HF radar; obtaining the Doppler spectrum from the sea echo of a single radar frequency at a fan-shaped unit by performing the first fast Fourier transform (FFT) in distance dimension, the second FFT in Doppler frequency dimension and the digital beamforming; extracting the positive first-order peak and the negative first-order peak from the aforementioned Doppler spectrum by the peak-searching method; and selecting the stronger first-order peak ?R(1)(?); dividing the second-order spectrum on the stronger first-order peak side into an inner second-order spectrum and an outer second-order spectrum.

Abstract: Provided is an iterative focused millimeter wave integrated communication and sensing method, which converts an environmental sensing problem into a compressed sensing reconstruction problem, and realizes the initial coarse sensing of the environment based on an approximate message passing algorithm; according to a background determining method, the present disclosure divides and determines a target object, removes the influence of background scatters on a receiving signal, and removes the background scatters repeatedly and iteratively, so as to obtain a more accurate focus sensing result of the target object.

Abstract: A system for detecting satellite signal spoofing using error state estimates is provided. The system includes at least one satellite receiver to receive satellite signals, at least one memory and at least one controller. The at least one memory is configured to store at least operation instructions. The at least one controller is in communication with the at least one satellite receiver and the at least one memory. The at least one controller is configured to determine state estimates from the received satellite signals. The at least one controller is further configured to determine error state estimates based at least in part on differences in current state estimates and differences in delayed state estimates. The controller further configured to determine if spoofing is occurring in one more of the received satellite signals when the error state estimates are greater than a select threshold.

Abstract: A radar system includes first, second, and third transmitter branches. The first transmitter branch transmits a first frequency-modulated continuous wave (FMCW) signal having a first set of chirps having a first phase setting such that phase values of consecutive chirps differ by a first phase difference. The second transmitter branch transmits a second FMCW signal having a second set of chirps having a second phase setting such that phase values of consecutive chirps differ by a second phase difference. The third transmitter branch transmits a third FMCW signal having a third set of chirps having a third phase setting such that phase values of consecutive chirps differ by a third phase difference. The first phase difference, the second phase difference, and the third phase difference are different phase differences. The first phase difference, the second phase difference, and the third phase difference are asymmetrically distributed relative to each other.

Abstract: An integrated circuit (IC) is provided with a plurality of diode based mm-wave peak voltage detectors (PVD)s. During a testing phase, a multi-point low frequency calibration test is performed on one or more of the PVDs to determine and store a set of alternating current (AC) coefficients. During operation of the IC, a current-voltage sweep is performed on a selected one of the PVDs to determine a process and temperature direct current (DC) coefficient. A peak voltage produced by the PVD in response to a high frequency radio frequency (RF) signal is measured to produce a first measured voltage. An approximate power of the RF signal is calculated by adjusting the first measured voltage using the DC coefficient and the AC coefficient.

Abstract: A radar device may include a memory to store a program associated with operating the radar device. The radar device may include a decoder to read the program from the memory, and generate a control value and a timestamp based at least in part on the program. The control value may be a value to be provided as an input to a component of the radar device at a time indicated by the timestamp. The radar device may include a first-in first-out (FIFO) buffer to store at least the control value and provide the control value as the input to the component of the radar device at the time indicated by the timestamp.

Abstract: A radar device for automotive applications comprises a radar circuit configured to process a radar signal that has a first signal portion and a second signal portion, wherein the first signal portion occupies a first frequency band and the second signal portion occupies a second frequency band that is separate from the first frequency band. An antenna device of the radar device comprises a first and second antenna element that are both coupled to a common signal port of the radar circuit and the radar device is configured to route both the first signal portion and the second signal portion via the common signal port between the radar circuit and the antenna device. The antenna device is a frequency selective antenna device that transduces the first signal portion via the first antenna element and not via the second antenna element and that transduces the second signal portion at least via the second antenna element.

Abstract: Disclosed is a measuring device for measuring a dielectric constant of filling material in a container. The measuring device includes: a signal generating unit designed to drive a transmitter electrode with an AC voltage such that the transmitter electrode emits a radar signal in the direction of the filling material; a receiver electrode arrangeable in the container to receive the radar signal following passage through the filling material; and an evaluation unit configured to ascertain an amplitude, a phase shift, and/or a signal propagation time between transmitter electrode and receiver electrode on the basis of the received radar signal and to determine the dielectric constant on the basis of the ascertained signal propagation time, phase shift, and/or the amplitude.

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: An apparatus for measuring a surface comprises first sensors, which are distributed two-dimensionally in space, said first sensors interacting with the surface in a contactless manner using a microwave range of electromagnetic signals, and the first sensors receive at least two of the microwave signals of the interaction with information relating to distances between the sensors and the surface as a reflection, the microwave signals of the interaction representing both dimensions of the space of two-dimensional distribution of the first sensors. A data processing unit receives said information on the distances, and determines at least one geometrical parameter of the surface on the basis of the information.