Abstract: Systems and methods for radar systems to produce a radar image of a region of interest (ROI with targets. Sensors to transmit source signals to the ROI and to measure echoes reflected back from the targets corresponding to the transmitted source signals. A processor to calculate an estimate of a noisy and a partial Euclidean Distance Matrix (EDM) of the sensors and the targets. Decompose the noisy and the partial EDM into a low rank EDM that corresponds to locations to actual sensors and target locations, and a sparse matrix of distance errors, using a constrained optimization process. The low rank EDM is mapped into the sensors and the targets locations, to obtain estimated actual sensor locations. Implement an inverse imaging process using the estimated actual sensor locations and the received data, to produce the radar image to output to a communication channel.

Abstract: An embodiment method includes: receiving radar data at a millimeter-wave radar sensor, the radar data being generated in response to an incident radio-frequency signal reflecting off an object located in a field of view of the millimeter-wave radar sensor; filtering the radar data to generate a first-filtered signal; determining a trajectory of motion corresponding to the first-filtered signal; and determining whether the trajectory of motion corresponds to a human signature, the human signature being associated with a respective operation of a vehicle.

Abstract: Disclosed is a calibration method of performing dual radiometric compensation by using an antenna gain pattern of a synthetic aperture radar (SAR) both in a time domain and in a frequency domain. The method may include performing frequency-domain radiometric compensation in relation to an elevation angle and performing time-domain radiometric compensation in relation to a frequency to calibrate the antenna gain pattern.

Abstract: The present invention relates to the technical field of synthetic aperture radar, and in particular to a ground-based interference synthetic aperture radar-based atmospheric phase compensation method. The present invention first uses the inverse fast Fourier transform algorithm to rapidly and effectively realize the focusing in the range and cross-range dimension. Then a triple threshold method which combines coherence coefficient, amplitude, and amplitude dispersion index is used to select reliable PS points. Finally, under a full consideration of the spatial correlation of the atmospheric phase, the atmospheric phase is estimated by using a two-dimensional-polynomial model. The present invention can rapidly and accurately estimate and compensate the atmospheric phase, is helpful in improving the accuracy of GB-InSAR real-time measurement, and valuable and universal in practical application.

Abstract: A frequency-modulated continuous-wave radar system includes a waveform generator, a delta-sigma modulation circuit, a voltage controlled oscillator, a frequency divider circuit, a control circuit, an injection locked oscillator, a power amplifier circuit, a first power detection circuit, a second power detection circuit, a third power detection circuit, and a calibration engine circuit. The waveform generator, the delta-sigma modulation circuit, the voltage controlled oscillator, the frequency divider circuit, and the control circuit form a phase locked loop.