Electromagnetic Systems, Inc.

Mark Resources, Inc.

Stephen Jeffrey Hershkowitz

Brian Michael Lamb

Aspects of the disclosure are directed to adaptive correction of radar channel-to-channel time-dependent errors. In accordance with one aspect, the adaptive correction of radar channel-to-channel time-dependent errors includes transforming a digitized data flow to generate a transformed data flow; detecting the transformed data flow to generate a detected data flow; focusing the detected data flow to generate a focused data flow; and aligning the focused data flow to generate a corrected data flow. In one aspect, it may further include performing a direction of arrival (DOA) processing on the corrected data flow to generate a resolved data set, processing the resolved data set to generate a post-processed data set, radiating a transmit radar waveform, capturing a receive radar waveform related to the transmit radar waveform and generating the digitized data flow based on the receive radar waveform.

Adaptive correction of radar channel-to-channel time-dependent errors

Aspects of the disclosure are directed to dual processing. Accordingly disclosed are, an apparatus and a method for dual processing for stationary objects and moving objects including generating a first set of range/Doppler images and a second set of range/Doppler images from a radar system, wherein the first set of range/Doppler images is processed over a first processing time and the second set of range/Doppler images is processed over a second processing time; using a first clustering algorithm to generate a first set of range/Doppler/angle object detections based on the first set of range/Doppler images; using a second clustering algorithm to generate a second set of range/Doppler/angle object detections based on the second set of range/Doppler images; and generating a set of range/Doppler/angle object tracks for stationary and moving objects from the first set of range/Doppler/angle object detections and the second set of range/Doppler/angle object detections.

Use of dual processing channels for stationary and moving objects illuminated by radar

Aspects of the disclosure are directed towards obstacle position and extent measurement. In accordance with one aspect, obstacle detection includes creating one or more interferometric measurements to generate a flow of response position locations using a flow of range/Doppler detections by fitting a parametric expression; and deriving one or more scatterer positions and obstacle position and extent measurements from the flow of response position locations.

Obstacle position and extent measurement by automotive radar

Processing is described for forming a synthetic aperture radar image of the region toward which a platform moves, and for extracting from this image the physical positions of scatterers in the region, including moving scatterers. The processing entails one-dimensional resampling of the received radar data that can be performed as the data are being collected, facilitating real-time operation. Various embodiments are disclosed.

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Manhattan Beach, CA, United States of America

Stephen Jeffrey Hershkowitz