A method for generating data regarding individuals in an area of interest including operating a radar system which may be deployed in the area of interest, to provide a radar image including raw radar data; and/or using a hardware processor configured to store a trained model for analyzing the radar image, thereby to generate object recognition data, wherein the raw radar data generated by the radar system both undergoes signal processing, thereby to generate processed radar data which is used for said training, and is used directly, without signal processing, for training said model.

The signal processing device includes an interference processing unit which generates an interferogram from a plurality of SAR images, a coherence calculation unit which calculates coherence of the SAR images, a singular point processing unit which performs an operation for resolving singular points in the interferogram, a phase unwrapping unit which executes a phase unwrapping process using operation result of the singular point processing unit, and an SBAS analysis unit which performs displacement analysis by SBAS, using processing result of the phase unwrapping unit.

A radar system including a transmitter configured for installation and use with the radar system and configured to transmit radio signals. The transmitted radio signals are defined by a spreading code. The radar system also includes a receiver configured for installation and use with the radar system and configured to receive radio signals that include transmitted radio signals transmitted by the transmitter and reflected from objects in an environment. The receiver is configured to convert the received radio signals into frequency domain received samples. The receiver is also configured to correlate the frequency domain received samples to detect object distance.

A radar system including a transmitter configured for installation and use with the radar system and configured to transmit radio signals. The transmitted radio signals are defined by a spreading code. The radar system also includes a receiver configured for installation and use with the radar system and configured to receive radio signals that include transmitted radio signals transmitted by the transmitter and reflected from objects in an environment. The receiver is configured to convert the received radio signals into frequency domain received samples. The receiver is also configured to correlate the frequency domain received samples to detect object distance.

Microwave and millimeter wave imaging. An antenna array in communication with a signal source comprises a plurality of antennas by which a signal generated by the signal source is transmitted incident to an object located remotely from the antenna array and by which a signal reflected from the object is received by the antenna array. The signals transmitted by the antennas collectively have an effective electric field resembling a plane-wave within a target region in front of the antenna array. A plurality of detectors each connected to one of the antennas is configured to simultaneously receive the reflected signal and provide an output signal representative thereof. An image processor configured to execute an imaging algorithm generates a multi-dimensional profile representative of the object based on the output signals from the detectors.

Subsurface imaging with information of shape, volume, and dielectric properties is achieved with low frequencies and a ramp waveform. The low frequencies have a lower attenuation compared to the penetration losses of radar frequencies. The technique operates at wavelengths which are comparable to the object or void being imaged, and can be applied to detect and image underground aquifers, magma chambers, man-made tunnels and other underground structures.

A vehicle radar apparatus and a method of controlling the vehicle radar apparatus, including a transmission array antenna that radiates a radar signal for forward detection; a reception array antenna that operates at N (N is an integer greater than zero) reception channels for receiving the radar signal that is radiated by the transmission array antenna, reflects from a target, and returns; an azimuth angle estimation unit that estimates an azimuth angle of the target using each non-offset reception channel of the N reception channels; and an elevation angle estimation unit that estimates an elevation angle of the target in a diagonal direction in which each non-offset channel of the N reception channels is tilted with respect to an azimuth angle of an offset reception channel thereof.

Embodiments are disclosed that for synthetic aperture radar (SAR) systems and methods. Front-end circuitry transmits radar signals, receives return radar signals, and outputs digital radar data. FFT circuits process the digital radar data without zero-padding to generate FFT data corresponding to oversampled pixel range values. A processor further processes the FFT data to generate radar pixel data representing a radar image. Further, the FFT circuits can interpolate the FFT data based upon pixel ranges using a streamlined range computation process. This process pre-computes x-axis components for pixels in common rows and y-axis components for pixels in common columns within the FFT data. For one embodiment, a navigation processor is coupled to a SAR system within a vehicle, receives the radar pixel data, and causes one or more actions to occur based upon the radar pixel data, such as an advanced driver assistance system function or an autonomous driving function.

Optical modality configured to simulate measurements of the radar cross-section of targets, dimensioned to be conventionally-measured in the RF-portion of the electromagnetic spectrum, with sub-micron accuracy. A corresponding compact optical system, with a foot-print comparable with a tabletop, employing optical interferometric time-of-flight approach to reproduce, on a substantially shorter time-scale, radar-ranging measurements ordinarily pertaining to the range of frequencies that are at least 10.sup.3 times lower than those employed in the conventional RF-based measurement.

A subsurface interferometric synthetic aperture radar (InSAR) imaging technique for the detection and localization of underground targets in the presence of a rough ground surface comprises a two-step procedure. First, surface clutter suppression is performed with a polarimetric difference operation that does not alter the propagation phase of the target scattered signal; then a subsurface interferometric algorithm is applied to infer target depth by correlating the clutter-suppressed images obtained along two observation paths.