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 y.sub.k as a function of Doppler frequencies f.sub.D. 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 y.sub.k (f.sub.D) 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.

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.

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.

A measurement method performed at a receiving device involves sequentially receiving RF signals, each comprising a different set of at least first and second tones at differing frequencies. Complex gain responses (CGRs) for each of the first and second tones of each of the RF signals are measured. A phase offset is determined between: i) a phase of the CGR of the second tone of a first RF signal, and ii) a phase of the CGR of the first tone of a second RF signal. A coherent channel frequency (CCF) response of the second tone of the second RF signal is computed by adjusting a phase of the CGR of the second tone of the first RF signal by the phase offset. A processor executes a signal paths calculation algorithm using the CCF response of the second tone of the second RF signal to determine an angle or time of arrival of the first RF signal.

A measurement method performed at a receiving device involves sequentially receiving RF signals, each comprising a different set of at least first and second tones at differing frequencies. Complex gain responses (CGRs) for each of the first and second tones of each of the RF signals are measured. A phase offset is determined between: i) a phase of the CGR of the second tone of a first RF signal, and ii) a phase of the CGR of the first tone of a second RF signal. A coherent channel frequency (CCF) response of the second tone of the second RF signal is computed by adjusting a phase of the CGR of the second tone of the first RF signal by the phase offset. A processor executes a signal paths calculation algorithm using the CCF response of the second tone of the second RF signal to determine an angle or time of arrival of the first RF signal.

The present invention relates to a method of effectively removing various vibration noises using microwave Doppler radar, and an apparatus therefor. The method comprises the steps of: (a) generating and transmitting an oscillation frequency to a dynamic target, and receiving a signal reflected from the dynamic target and various signals generated around the dynamic target; (b) generating a Doppler IF signal from each of n received signals; (c) converting each Doppler IF signal into digital data; (d) configuring digital signals into a data set, and converting the data set into a frequency component symbol set; (e) calculating a value by adding index symbols and dividing by n reception antennas; and (f) classifying deviation between spectrum components of a commonly-generated periodic signal and an uncommon aperiodic signal, and obtaining only a periodic signal through filtering. The present invention can improve accuracy of sensing a biometric signal.

The present invention relates to a method of effectively removing various vibration noises using microwave Doppler radar, and an apparatus therefor. The method comprises the steps of: (a) generating and transmitting an oscillation frequency to a dynamic target, and receiving a signal reflected from the dynamic target and various signals generated around the dynamic target; (b) generating a Doppler IF signal from each of n received signals; (c) converting each Doppler IF signal into digital data; (d) configuring digital signals into a data set, and converting the data set into a frequency component symbol set; (e) calculating a value by adding index symbols and dividing by n reception antennas; and (f) classifying deviation between spectrum components of a commonly-generated periodic signal and an uncommon aperiodic signal, and obtaining only a periodic signal through filtering. The present invention can improve accuracy of sensing a biometric signal.

A system may include a computing device including a processor. The processor may be configured to: for correlation threads having populated queues, execute at least some of the correlation threads in parallel, wherein execution of each of the at least some of the correlation threads results in at least one of: at least one new radar track or at least one updated existing radar track; and output each new radar track and each updated existing radar track.

A system may include a computing device including a processor. The processor may be configured to: for correlation threads having populated queues, execute at least some of the correlation threads in parallel, wherein execution of each of the at least some of the correlation threads results in at least one of: at least one new radar track or at least one updated existing radar track; and output each new radar track and each updated existing radar track.

This disclosure describes a radar system configured to estimate a yaw-rate and an over-the-ground (OTG) velocity of extended targets in real-time based on raw radar detections. This disclosure further describes techniques for determining instantaneous values of lateral velocity, longitudinal velocity, and yaw rate of points of a rigid body in a radar field-of-view (FOV) of the radar system.