Systems and methods for modulation and demodulation using a micro-Doppler effect are described. In an embodiment, the method includes radiating, using a picosecond pulse generator with an antenna, a train of THz pulses that form a frequency comb, where the frequency comb is reflected from an object such that the frequency several tones in the frequency comb are shifted based on the speed of the object and demodulating the reflected frequency comb to recover a THz Doppler signature of the object.

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.

The present disclosure relates to a vehicle radar, a vehicle radar controlling method, and a vehicle radar controlling system. Specifically, the vehicle radar includes a signal transmitter which transmits a transmission signal for detecting a target object, a signal receiver which receives a reception signal including a target signal generated by the transmission signal being reflected by the target object, and a signal processor which processes the reception signal to form a frequency spectrum of the reception signal. Specifically, the signal processor determines a window size based on the frequency spectrum of the reception signal, determines spectrum similarity between an up-chirp frequency and a down-chirp frequency based on the determined window size, and determines a length of the target object if the spectrum similarity is greater than a preset threshold value.

This disclosure describes systems and techniques for processing radar sensor data. The systems and techniques include acquiring radar sensor data from a radar sensor and processing the radar sensor data by, for example, an artificial neural network to obtain at least one of range radar data or Doppler radar data.

False alarms in RADAR processing are reduced. One or more transforms may be performed to generate an array of spectrum values for a first domain spanning at least one of a range axis, a direction of arrival (DoA) axis, or a velocity axis. One or more spectrum values may be obtained from the array of spectrum values, wherein for each of the one or more spectrum values, (1) the spectrum value is associated with a range estimate, and (2) the spectrum value exceeds a range-dependent maximum threshold established based on a quartic function of the range estimate. The one or more spectrum values identified as exceeding the range-dependent maximum threshold may be excluded, or one or more reduced-magnitude values obtained, to generate an array of modified spectrum values for the first domain, used to generate a range estimate, a DoA estimate, or a velocity estimate, or any combination thereof.

A radar system, comprising: a receive antenna configured to receive a receive signal reflected from a bullet, the receive signal exhibiting a Doppler shift according to the motion of the bullet; and a detector implementing a set of matched filters each configured to determine a measure of correlation between the Doppler shift of the receive signal and one of a set of pre-stored Doppler shifts, wherein each of the pre-stored Doppler shifts respectively represents the Doppler shift of a bullet passing the antenna at a different speed or a distance of a point of closest approach.

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 radar anti-spoofing system for an autonomous vehicle includes a plurality of radar sensors that generate a plurality of input detection points representing radio frequency (RF) signals reflected from objects and a controller in electronic communication with the plurality of radar sensors. The one or more controllers execute instructions to determine a signal to noise ratio (SNR) distance ratio for the input detection points generated by the plurality of radar sensors, where a value of the SNR distance ratio is indicative of an object being a ghost vehicle. The one or more controllers also determine an effective particle number indicating a degree of particle degradation for the importance sampling for each variable that is part of the state variable. In response to determining the effective particle number is equal to or less than a predetermined threshold, the one or more controllers estimate a ghost position for the ghost vehicle.

A radar anti-spoofing system for an autonomous vehicle includes a plurality of radar sensors that generate a plurality of input detection points representing radio frequency (RF) signals reflected from objects and a controller in electronic communication with the plurality of radar sensors. The controller executes instructions to determine time-matched clusters that represent objects located in an environment surrounding the autonomous vehicle based on the input detection points from the plurality of radar sensors. The controller determines an adjusted signal to noise (SNR) measure for a specific time-matched cluster by dividing an SNR of the specific time-matched cluster by a range measurement of the specific time-matched cluster. The controller determines a velocity-ratio measure of the time-matched cluster by dividing a motion-based velocity by a Doppler-frequency velocity, and identifies the time-matched cluster as either a ghost object or a real object.

A method (100; 200) for digital signal processing (S(t)) of a pulse and scanning radar during an observation of a coastal zone in land/sea detection mode, the signal being sampled according to a two-dimensional temporal map, a distance dimension (d) and a recurrence dimension (rec), comprising: selecting a digital terrain model file (MNT) of the observed coastal zone; transforming (110; 210) the temporal map and/or the digital terrain model file to obtain a transformed temporal map and/or a transformed digital terrain model file the data of which are expressed in a common reference frame; constructing (120) a mask (MT; MF) from the transformed digital terrain model file; and applying (130) the mask to the samples (E(d, rec); E(d, Δf)) of the map associated with the transformed temporal map, in such a way as to obtain filtered samples (Ef(d, rec); Ef(d, Δf)).