A radar system including a transmit antenna for transmitting a radio frequency (RF) signal or a radar signal and a receive antenna for receiving a plurality of reflected signals created by a plurality of targets reflecting the RF signal or radar signal. The reflected signals include noise. The radar system also includes an analog-to-digital converter (ADC) that digitizes or samples the reflected signals to provide a digitized or sampled noisy input signal. The radar system further includes a reservoir computer that receives the noisy input signal. The reservoir computer includes a time-varying reservoir and is configured to de-noise the noisy input signal and provide a range measurement for each of the plurality of targets.

A radar sensing system for a vehicle includes a transmitter configured for installation and use on a vehicle and able to transmit radio signals. The radar sensing system also includes a receiver and a processor. The receiver is configured for installation and use on the vehicle and is able to receive radio signals that include transmitted radio signals reflected from objects in the environment. The processor samples the received radio signals to produce a sampled stream. The processor processes the sampled stream such that the sampled stream is correlated with various delayed versions of a baseband signal. The correlations are used to determine an improved range, velocity, and angle of targets in the environment.

A radar detection system that estimates the received pulse frequency of a pulse in a received radar signal using a signal transmit frequency or one that uses frequency agility during a pulse duration. The radar detector system may include a radar detector that receives the radar signal from an antenna or antenna array. The receiver may be channelized, and each channel path may include Gaussian bandpass filter(s) centered at a different frequencies. The system includes an extended range radar detector that receives the signal in the channels and processing logic that processes the detected channel signals to identify the pulse frequency of emitters with or without frequency agility during a pulse duration. The frequency estimates of the pulse are based on calibrated amplitude differences in adjacent channels.

This document describes techniques and systems for authentication management through IMU and radar. The techniques and systems use inertial sensor data from an inertial measurement unit (IMU) and/or radar data to manage authentication for a computing device. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for computing-device authentication.

This document describes techniques and systems for reducing a state based on sensor data from an Inertial Measurement Unit (IMU) and radar. The techniques and systems use inertial sensor data from an IMU as well as radar data to reduce states of a user equipment, such as power, access, and information states. These states represent power used, an amount of access permitted, or an amount of information provided by the user equipment. The techniques manage the user equipment's states to correspond to a user's engagement with the user equipment, which can save power, reduce unwarranted access, and reduce an amount of information provided when the user is not engaged with the user equipment, thereby protecting the user's privacy.

An object recognition method and an electronic device thereof are provided. The method includes transmitting a signal to an external object, controlling a wireless communication module to receive a signal reflected from the external object, controlling the wireless communication module to obtain a channel impulse response based on the transmitted signal and the received signal, obtaining information of an orientation of the external object based on the received signal, detecting phase noise caused by a movement of the electronic device, extracting a component matching the orientation of the external object from the detected phase noise, and compensating for phase information in the channel impulse response based on the component matching the orientation of the external object.

An apparatus is disclosed for proximity detection using adaptive mutual coupling cancellation. In an example aspect, the apparatus includes at least two antennas, a wireless transceiver connected to the at least two antennas, and a mutual coupling cancellation module. The at least two antennas include a first antenna and a second antenna, which are mutually coupled electromagnetically. The second antenna includes two feed ports. The wireless transceiver is configured to transmit a radar transmit signal via the first antenna and receive two versions of a radar receive signal respectively via the two feed ports of the second antenna. The wireless transceiver is also configured to adjust a transmission parameter based on a decoupled signal. The transmission parameter varies based on a range to the object. The mutual coupling cancellation module is configured to generate the decoupled signal based on the two versions of the radar receive signal.

Disclosed herein are systems and methods for estimating target ranges, angles of arrival, and speed using optimization procedures. Target ranges are estimated by performing an optimization procedure to obtain a denoised signal, performing a correlation of a transmitted waveform and the denoised signal, and using a result of the correlation to determine an estimate of a distance between the sensor and at least one target. Target angles of arrival are estimated by determining ranges at which targets are located, and, for each range, constructing an array signal from samples of received echo signals, and using the array signal, performing another optimization procedure to estimate a respective angle of arrival for each target of the at least one target. Doppler shifts may also be estimated using another optimization procedure. Certain of the optimization procedures use atomic norm techniques.

A Multi-Signal Instantaneous Frequency Measurement, MIFM, system comprising a front end adapted to shift and combine signal spectra of different sub-frequency bands (SFBs) of a received wideband signal (WBS) into an intermediate frequency band (IFB) having an instantaneous bandwidth (IBW), wherein each shifted SFB signal spectrum is marked individually with SFB marking information associated with the respective sub-frequency band (SFB) and a digital receiver (3) having the instantaneous bandwidth (IBW) configured to process the shifted SFB signal spectra within the intermediate frequency band (IFB) using the SFB marking information to resolve any frequency ambiguity caused by the shifting and combining of the SFBs signal spectra.

A method of environmental sensing through pilot signals in a spread spectrum wireless communication system is provided with a plurality of wireless terminals. The plurality of wireless terminals includes a plurality of multi-input multi-output (MIMO) radars and at least one base station. The plurality of terminals broadcasts a beacon pilot signals containing a terminal-specific information and encoded with a corresponding identifier. Using the corresponding identifier, an arbitrary radar from the plurality of MIMO radars separates the beacon pilot signal from an ambient signal. More specifically, the arbitrary radar compares the ambient signal to the corresponding identifier of each wireless terminal to identify at least one origin terminal. Subsequently, the arbitrary radar extracts the terminal-specific information from the beacon pilot signal of the origin terminal. The terminal-specific information is used to exchange data between the plurality of wireless terminals for autonomous driving.