Abstract: Systems and methods described herein provide systems for scanning an individual to identify hidden objects carried by the individual. The systems and methods employ imaging masts with transmitters and receivers of electromagnetic radiation. First and second imaging masts transmit and receive radiation on first and second scan paths, respectively, about a central point. The first and second scan paths are in a mirror-image arrangement with respect to the central point. The geometry of the imaging mast scan paths enables the use of multistatic reconstruction algorithms and improved data acquisition as compared to conventional systems and methods.

Abstract: Systems and methods provide for performing a scan of an object is provided. A system includes a non-optical scanning device to perform the scan of the object. The system further includes an optical imaging device to capture image information about the object prior to performing the scan of the object. The system further includes a processing system comprising a memory comprising computer readable instructions and a processing device for executing the computer readable instructions. The computer readable instructions control the processing device to perform operations. The operations include determining whether a pose of the object satisfies a target pose. The operations further include, responsive to determining that the pose of the object satisfies the target pose, causing the non-optical scanning device to perform the scan of the object.

Abstract: Using captured and stored wideband historical radio frequency data bearing information to the source of a signal of interest achieved using as few as two receivers and a plurality of commutating antennas. Wideband IQ data streams are received at two or more receivers and stored for later analysis. A first receiver is coupled to a reference antenna and a second receiver is commutatively coupled to a plurality of commutating antennas. Later, streams of wideband IQ data are retrieved for a select period of time and synchronized. From these streams a signal of interest identified and synchronously sampled over an acquisition interval by each receiver. Phase differences of the signal at each of the plurality commutating antennas is measured enabling a determination of the bearing to the common signal of interest.

Abstract: Narrow brand IQ signals are obfuscated by embedding the signal in a buffered portion of wideband IQ frequency data. After the data has been received and buffered, the receiving transceiver, using a wideband IQ frequency data key, of a predetermined and shared format, decodes and reconstitute the narrowband IQ signal.

Abstract: The disclosed invention includes methods for linking individual software-defined radios (SDR) into a cohesive network of SDRs capable of recording a sample of radiofrequency (RF) signals emitted in an RF environment. Individual SDRs communicate with an IP network, and host a linking application that executes the recording. A user identifies a lead SDR from among the SDRs, and uses the lead SDR to task participating SDRs with reference to a clock source. Also disclosed is a system of SDRs configured to be linked into a cohesive network of SDRs capable of recording a sample of RF signals emitted in an RF environment. Embodiments of the disclosed invention include co-located and dispersed SDRs. Some embodiments use SDRs organized into a mesh network. Embodiments of the disclosed invention are configured to perform total band monitoring, total band capture, RF environment simulation, interference identification, interference simulation, and distributed quality of service evaluation of wireless networks.

Abstract: Capturing, extracting and storing narrowband IQ data for later processing enables timely and efficient analysis. As wideband capture of RF information includes noise and non-signal elements, the present invention detects, extracts and stores narrowband IQ signals for later assessment. By transforming a high-volume data stream to a collection of smaller narrowband signals with greatly reduced storage and on-board processing requirements the present invention facilitates the capability to analyze signals of interest in an otherwise denied environment.

Abstract: The disclosed invention includes methods for linking individual software-defined radios (SDR) into a cohesive network of SDRs capable of recording a sample of radiofrequency (RF) signals emitted in an RF environment. Individual SDRs communicate with an IP network, and host a linking application that executes the recording. A user identifies a lead SDR from among the SDRs, and uses the lead SDR to task participating SDRs with reference to a clock source. Also disclosed is a system of SDRs configured to be linked into a cohesive network of SDRs capable of recording a sample of RF signals emitted in an RF environment. Embodiments of the disclosed invention include co-located and dispersed SDRs. Some embodiments use SDRs organized into a mesh network. Embodiments of the disclosed invention are configured to perform total band monitoring, total band capture, RF environment simulation, interference identification, interference simulation, and distributed quality of service evaluation of wireless networks.

Abstract: Narrow brand IQ signals are obfuscated by embedding the signal in a buffered portion of wideband IQ frequency data. After the data has been received and buffered, the receiving transceiver, using a wideband IQ frequency data key, of a predetermined and shared format, decodes and reconstitute the narrowband IQ signal.

Abstract: The disclosed invention uses artificial intelligence (AI) algorithms for detecting and classifying radiofrequency transmissions to model and simulate an RF environment. AI or machine learning (ML) algorithms further assist in determining optimal modulation, bandwidth and center frequency placement of a transmit signal to either fully and efficiently exploit unused spectrum in the RF environment, or to camouflage the signal to evade detection, and therefore interception while providing enough fidelity to the receiver to remain detectable. Such signal shaping is done while maintaining small SWaP-C footprint for system component hardware.

Abstract: The disclosed invention uses artificial intelligence (AI) algorithms for detecting and classifying radiofrequency (RF) transmissions to assemble a target signal library containing information about one or more target signals according to several criteria. A signal generator develops a mimic signal, designed to emulate a target signal based on information stored in the target signal library. In some embodiments, AI or machine learning (ML) algorithms further assist in refining the mimic signal to more effectively resemble the target signal. Such signal mimicry is done while maintaining small SWaP-C footprint for system component hardware.

Abstract: Using captured and stored wideband historical radio frequency data bearing information to the source of a signal of interest achieved using as few as two receivers and a plurality of commutating antennas. Wideband IQ data streams are received at two or more receivers and stored for later analysis. A first receiver is coupled to a reference antenna and a second receiver is commutatively coupled to a plurality of commutating antennas. Later, streams of wideband IQ data are retrieved for a select period of time and synchronized. From these streams a signal of interest identified and synchronously sampled over an acquisition interval by each receiver. Phase differences of the signal at each of the plurality commutating antennas is measured enabling a determination of the bearing to the common signal of interest.

Abstract: Capturing, extracting and storing narrowband IQ data for later processing enables timely and efficient analysis. As wideband capture of RF information includes noise and non-signal elements, the present invention detects, extracts and stores narrowband IQ signals for later assessment. By transforming a high-volume data stream to a collection of smaller narrowband signals with greatly reduced storage and on-board processing requirements the present invention facilitates the capability to analyze signals of interest in an otherwise denied environment.

Abstract: Detection and classification of patterns in high speed streaming data using algorithmic learning processes creates transferable models. Synchronized local data models are housed in a data model repository and upon receiving one or more data points from a continual source of data a determination is made whether the newly collected data falls within an existing data model. If so, the detection is reported. If not the data is stored in an unknown data detection list. Clusters of the data residing in the unknown data list are formed and from those clusters statistical features extracted. An n-dimensional convex hull is fashioned bounding a region within which the statistical features lie thereby establishing a new class of data. The new class of data is, or can be, thereafter transferred to other existing models such that the receiving model can update its data model repository without performing any data analysis.

Abstract: Mechanical pressure gauges may be calibrated for linearity by a method which uses the pressure element's initial and final position at zero and full gauge pressure to determine the setting for span (gain) and starting angle of a segment gear. These are then set when the gauge is assembled to provide a completely calibrated gauge without alternately changing first one then the other of the interrelated span radius and starting angle to adjust linearity of a gauge. A vision system is utilized to perform the steps of precisely measuring the initial and final tip position on a reference plane. This information is used along with the geometry of the four-bar gauge linkage to determine the necessary span radius and starting angle, which is a function of the tip to segment gear pivot point distance. These distances can be individually set on each gauge by conventional mechanical measuring tools within tolerances which will immediately produce an assembled gauge within a desired linearity specification.

Abstract: A method of calibrating mechanical pressure gauges utilizes the dial indicator pointer to amplify and measure the small angular displacement of a pivoting movement element drivingly engaging a pinion gear to turn the pointer shaft and determines with the aid of an analogue model, usually in one iteration, the gain setting necessary to span the gauge and the position of the pivoting movement to establish acceptable linearity without bending the mechanical linkage or changing the movement connecting link. The method includes a method of establishing the model and utilizes a programmed computer to accept the few measurements required, perform the method computations and instruct the operator. The method is applicable to gauges having a pressure measuring element which moves in response to pressure and a linkage connected to a movement, such as Bourdon tube gauges.