A multiple input multiple output (MIMO) radar system for detecting a moving object is based on an explicit signal model. The explicit signal model accounts for waveform separation residuals by relating measurements of the virtual array to an auto-term including a Kronecker product of object-receiver signatures and transmitter-object signatures; and a cross-term including a Kronecker product of object-receiver signatures and transmitter-object residual signatures. The radar system uses a spatial MIMO object detector that is based on the explicit signal model to detect the moving object.

A method for recognizing an identity and a gesture based on radar signals includes: reading a radar echo signal reflected by various gestures of a tester and received by a radar sensor; frequency-mixing the radar echo signal with a radar transmission signal; after filtering and centralizing a frequency-mixed signal, training and obtaining a neural network capable of identity verification and a neural network capable of gesture recognition; in a real-time detection process, verifying an identity of a user; and if the identity is verified, determining that a gesture of the user is valid; verifying the gesture of the user and executing a corresponding operation according to correspondence between the gesture of the user and an operation. It can be determined by the method whether the gesture belongs to the corresponding user and whether the operation corresponding to the gesture is performed according to the determined result.

In a method for the recognition of an object by means of a radar sensor system, a primary radar signal is transmitted into an observation space, a secondary radar signal reflected by the object is received, a Micro-Doppler spectrogram of the secondary radar signal is generated, and at least one periodicity quantity relating to an at least essentially periodic motion of a part of the object is determined based on the Micro-Doppler spectrogram. The determining of the at least one periodicity quantity includes the following steps: (i) determining the course of at least one periodic signal component corresponding to an at least essentially periodic pattern of the Micro-Doppler spectrogram, (ii) fitting a smoothed curve to the periodic signal component, (iii) determining the positions of a plurality of peaks and/or valleys of the smoothed curve, and (iv) determining the periodicity quantity based on the determined positions of peaks and/or valleys.

In order to enhance the performance with which a moving target is detected by a single sensor and with a degree of freedom in a transmission waveform, a moving-target detection system 1 has a transmission waveform setting means 101 for setting a transmission waveform St(t), a transmission means 102 for transmitting a wave having the set transmission waveform St(t), a reception means 103 for receiving a wave including a reflected wave from a target, a Doppler shift estimation means 104 for estimating a Doppler shift that occurs due to movement of the target from the transmission waveform St(t) and a reception waveform Sr(t) including the reflected wave, a transmission waveform deformation means 105 for generating a deformed transmission waveform in which the transmission waveform St(t) is deformed in accordance with the estimated Doppler shift, and a target sensing means 106 for sensing the target using the deformed transmission waveform.

The invention described herein presents a system and method to overcome the distortions and affectations introduced by the highly variant channels of one or several antennas both in the transmitter and in the receiver. Unlike any existing invention that operates under the same conditions, this device uses a completely new reception technique based on the concept of virtual trajectories in which iterative calculations or solution of linear systems in operating time are not required, thus saving a considerable amount of operations. The receiver of this device manages to convert the fast variations of the channel into virtual antennas, thus achieving a considerable increase in the signal to noise-interference ratio. The resulting performance in terms of noise immunity is much better than any technique found so far and also requires a much smaller amount of calculations in the receiver.

Example embodiments described herein involve techniques for orthogonal Doppler coding for a radar system. An example method may involve causing, by a computing system coupled to a vehicle, a radar unit to transmit a plurality of radar signals into an environment of the vehicle using a two-dimensional (2D) transmission antenna array, wherein the radar unit is configured to use time division multiple access (TDMA) to isolate transmit channels along a horizontal direction of the 2D transmission antenna array and Doppler coding to isolate transmit channels along a vertical direction of the 2D transmission antenna array. The method may further involve receiving, by the computing system and from the radar unit, radar reflections corresponding to the plurality of radar signals, determining information representative of the environment based on the radar reflections, and providing control instructions to the vehicle based on the information representative of the environment.

A method of radar ranging comprises transmitting a digitally-modulated signal comprising successively in time, for each sequence in a plurality N of sequences, a plurality M+1 of repeats of said sequence, wherein each said sequence consists of a plurality L.sub.c of digitally-modulated chips, wherein at least one sequence in the plurality of sequences is different from another sequence in said plurality of sequences; receiving a version of the digitally-modulated signal reflected scattered by one or more physical targets; for each sequence in the plurality of sequences, performing a preliminary target estimation; and using each said preliminary target estimation for all sequences in the plurality of sequences, performing a final target estimation.

A method of estimating an angle of arrival of a radar signal reflected on a human target includes: receiving the reflected radar signal with first and second antennas of a millimeter-wave radar; transforming the reflected radar signal received to generate first and second range spectrum, respectively; generating a first and second range-Doppler maps based on the first and second range spectrum, respectively; determining or estimating a Doppler velocity based on the first range-Doppler map or the second range-Doppler map; compensating the first and second range-Doppler maps by selecting a peak in the first or second range-Doppler maps based on the determined Doppler velocity; identifying an index of the first macro-compensated range-Doppler map corresponding to an identified target; estimating a phase difference based on the first and second macro-compensated range-Doppler maps and the identified index; and estimating the angle of arrival based on the phase difference.

Systems and methods for using auditorily-induced vection (AIV) to enhance a person's attitude awareness are provided herein. In at least one embodiment, an auditory object is projected based on the orientation of the person or a vehicle and the projected auditory is provided to the person. By projecting the auditory object, the attitude of the person or the vehicle can be conveyed to the person to enhance the person's attitude awareness.

A determination of a spatial position of a transmitter which emits a wireless signal is provided. A receiver which moves relative to the transmitter receives the wireless signal and analyses a Doppler shift in the received signal. Information is generated for specifying possible spatial positions of the transmitter based on a point of time when a sign in the Doppler shift changes. In this way, a very simple and efficient determination of possible locations of the transmitter can be achieved.