Patent classifications
G01S7/2883
Dual Pulsed Mode FMCW Radar Retrofit Conversion with Adaptive Sweep Configuration
A retrofit system applied to existing FMCW radars in order to convert them into pulsed linear frequency-modulated radars with the ability to dynamically switch between two pulsed modes and an FMCW mode based on the estimated range of a target. This retrofit also includes provisions for adaptively configuring chirp and sweep parameters to optimize range resolution. The result is a retrofit system capable of converting an FMCW radar into a dual pulsed mode radar with adaptive sweep configuration.
REMOTE RECOVERY OF ACOUSTIC SIGNALS FROM PASSIVE SOURCES
Remote recovery of acoustic signals from passive sources is provided. Wideband radars, such as ultra-wideband (UWB) radars can detect minute surface displacements for vibrometry applications. Embodiments described herein remotely sense sound and recover acoustic signals from vibrating sources using radars. Early research in this domain only demonstrated single sound source recovery using narrowband millimeter wave radars in direct line-of-sight scenarios. Instead, by using wideband radars (e.g., X band UWB radars), multiple sources separated in ranges are observed and their signals isolated and recovered. Additionally, the see-through ability of microwave signals is leveraged to extend this technology to surveillance of targets obstructed by barriers. Blind surveillance is achieved by reconstructing audio from a passive object which is merely in proximity of the sound source using clever radar and audio processing techniques.
Methods and Systems for Estimating Rain Rate via Vehicle Imaging Radar
Example embodiments relate to techniques for using vehicle image radar to estimate rain rate and other weather conditions. A computing device may receive radar data from a radar unit coupled to a vehicle. The radar data can represent the vehicle's environment. The computing device may use the radar data to determine a radar representation that indicates backscatter power and estimate, using a rain rate model, a rain rate for the environment based on the radar representation. The computing device may then control the vehicle based on the rain rate. In some examples, the computing device may provide the rain rate estimation and an indication of its current location to other vehicles to enable the vehicles to adjust routes based on the rain rate estimation.
Radar detection of moving object with waveform separation residual
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.
Interleaving Radar Range and Doppler Processing
Described are techniques for interleaving range and Doppler radar processing. A data cube is memory accessed differently, from one look period to the next, which allows Doppler processing for a current look period to happen in parallel with range processing for a next look period. Range processing for a first look period writes to rows of the data cube; Doppler processing reads from and empties its columns. But before Doppler processing can finish, a second look period begins. Rather than re-writing to the rows, range processing in the second look period writes to the columns just emptied by the ongoing Doppler processing. Doppler processing for the first look period is allowed to finish by executing during processing idle times in the second period, e.g., in-between chirps. With better processor utilization, Doppler processing is afforded more time to do its complex operations, while keeping look periods as short as possible.
Sensor circuit using orthogonal phase coding
A transceiver circuit included in a computer system may include multiple antennas, a transmitter circuit and a receiver circuit. The transmitter circuit may store an identifier number and generate multiple numbers using the stored identifier number. The transmitter circuit may also generate a transmit signal that include multiple pulses, where a. given pulse may include multiple chirps encoded with the multiple numbers. The receiver circuit may receive a reflected version of the transmit signal and generate an output signal using the reflected version of the transmit signal.
INFORMATION PROCESSING APPARATUS AND SENSING METHOD
Provided is an information processing apparatus configured to sense an object by using an FMCW radar. The information processing apparatus includes: a data processing unit configured to process a reception signal and generate a power spectrum signal with a predetermined number of bins; an acquisition unit configured to acquire a plurality of peak bins corresponding to the object on the basis of the power spectrum signal; an extraction unit configured to extract an output signal corresponding to the power spectrum signal; and a correction unit configured to correct a phase of the output signal according to bin numbers of the plurality of peak bins. The data processing unit may apply a higher-order window function than a rectangular window to the reception signal. The correction unit may correct the phase of the output signal.
Device and method for processing radar signals
A radar device is disclosed including an input DMA module, at least one processing module, and an output DMA module. The input DMA module is arranged to access a memory and supply data from the memory to the at least one processing module, wherein each of the processing modules is arranged to be enabled or disabled. The at least one processing module that is enabled is arranged to process at least a portion of the data supplied by the input DMA module, and the output DMA module is arranged to store the data that are processed by the at least one processing module that is enabled in the memory. Also, a method for processing data by a radar device is provided.
RADAR COMMUNICATIONS WITH OVERSAMPLING
Aspects of the disclosure are directed to apparatuses, systems and methods for radar processing. As may be implemented in accordance with one or more aspects herein, an apparatus may include receiver circuitry to receive and sample radar signals reflected from a target, and processing circuitry to carry out the following. Representations of the reflections are transformed into the time-frequency domain where they are oversampled. The oversampled representations of the reflections are inversely transformed to provide resampled reflections. Positional characteristics of the target may then be ascertained by constructing a range response characterizing the target based on the resampled reflections.
System and method for generating point cloud data in a radar based object detection
According to an aspect, method of enhancing a resolution in a radar system having an antenna aperture comprises measuring a first radiation pattern corresponding to a first set of receiving antennas by feeding a known radio frequency (RF) signal over the first set of receiving antennas, wherein the first set of radiation due to an impairment, coherently combining an interpolated radiation pattern with a received radar signal received by the set of receiving antenna when employed for an object detection, to generate a high signal to noise ratio (SNR) received signal, and iteratively combining the high SNR received signal with the interpolated signal to reduce the error due to the impairment.