A transmission radar (1) divides each of multiple frequency bands in such a manner that differences between center frequencies in respective frequency bands after the division are equal, and transmits, in time division manner, transmission signals of which transmission frequencies are the center frequencies in respective frequency bands after the division; a rearrangement processing unit (13) rearranges each of the reception video signals converted by the reception radar (5) in such a manner that sets of reception video signals corresponding to the multiple frequency bands before being divided by the transmission radar (1) are arranged in a row; and a band synthesis processing unit (14) performs a band synthesis on each of the reception video signals rearranged by the rearrangement processing unit (13).

Exemplary aspects are directed to a radar-based detection circuit or system with signal reception circuitry to receive reflection signals in response to radar signals transmitted towards objects. The system may include logic/computer circuitry and a multi-input multi-output (MIMO) virtual array to enhance resolution or remove ambiguities otherwise present in processed reflection signals. The MIMO array may include sparse linear arrays, each being associated with a unique antenna-element spacing from among a set of unique co-prime antenna-element spacings.

In various examples, a radar system includes a logic circuit with an array for processing radar reflection signals. In a specific example, a method includes generating output data indicative of the reflection signals' amplitudes, and discerning angle-of-arrival information for the output data for the output data by correlating the output data with an iteratively-refined estimate of a sparse spectrum support vector (“support vector”). The approach may include: assessing at least one most probable spectrum support vector from among a plurality of most probable spectrum support vectors modeled as random values in a matrix drawn from a long-tail distribution that is controlled as a function of a scaling parameter; and update a set of parameters including a covariance estimate, the scaling parameter, and a noise variance parameter which is being associated with a measurement error for said at least one most probable spectrum support vector from a previous iteration.

Multi-timescale Doppler processing and associated systems and methods are provided. In one example, a receiver receives radar return data, where the radar return data is associated with reflections, from a scene, of a plurality of transmitted radar signals. The radar return data is processed to obtain a plurality of sets of detection data, where each set of detection data of the plurality of sets of detection data is associated with a respective processing size. Target data associated with the scene is generated based at least in part on the plurality of sets of detection data. Related systems and methods are also provided.

A microwave imaging system is provided. The microwave imaging system comprises a dual-comb transceiver module and a processing module. The dual comb transceiver module comprises a transmitter module for transmitting an output signal, at least one receiver module for receiving the output signal from the transmitter via a channel and for generating a first output signal, and a reference receiver module for receiving a portion of the output signal transmitted by the transmitter module via an attenuator module and for generating a second output signal. Further, one or more channel parameters associated with the microwave imaging are determined based on the first output signal and the second output signal.

Embodiments of the present disclosure describe an efficient O(n log n) method that implements the Inverse Chirp Z-Transform (ICZT). This transform is the inverse of the well-known forward Chirp Z-Transform (CZT), which generalizes the fast Fourier transform (FFT) by allowing the sampling points to fall on a logarithmic spiral contour instead of the unit circle. Thus, the ICZT can be viewed as a generalization of the inverse fast Fourier transform (IFFT).

This document describes techniques and systems that enable a radar system facilitating ease and accuracy of user interactions with a user interface. The techniques and systems can be implemented in an electronic device, such as a smartphone, and use a radar field to accurately determine three-dimensional (3D) gestures that can be used in combination with other inputs, such as touch or voice inputs, to interact with the user interface. These techniques allow the user to make 3D gestures from a distance and enable seamless integration of touch and voice commands with 3D gestures to improve functionality and user enjoyment.

A radar device for a vehicle, the radar device including: an antenna provided on an inner surface of a lamp for a vehicle and configured to transmit and receive electromagnetic waves; and a signal processing module provided in the lamp and configured to process a signal received by the antenna, such that it is possible to obtain an advantageous effect of simplifying a structure and improving a degree of design freedom and spatial utilization.

A transceiver having quantization noise compensation is disclosed. The transceiver includes transmitter and receiver circuits. The transmitter is configured to receive and quantize a digital signal to generate a quantized signal. The quantized signal is then converted into an analog transmit signal and transmitted as a wireless signal. The receiver circuit is configured to receive a reflected version of the wireless signal and generate an analog receive signal based thereon. The analog receive signal is converted into a digital receive signal. Thereafter, the receiver cancels quantization noise from the digital receive signal to produce a digital output signal that can be utilized for further processing.

A traffic radar system comprises a first radar transceiver, a second radar transceiver, a speed determining element, and a processing element. The first radar transceiver transmits and receives radar beams and generates a first electronic signal corresponding to the received radar beam. The second radar transceiver transmits and receives radar beams and generates a second electronic signal corresponding to the received radar beam. The speed determining element determines and outputs a speed of the patrol vehicle. The processing element is configured to receive a plurality of digital data samples derived from the first or second electronic signals, receive the speed of the patrol vehicle, process the digital data samples to determine a relative speed of at least one target vehicle in the front zone or the rear zone, and convert the relative speed of the target vehicle to an absolute speed using the speed of the patrol vehicle.