Aptiv Technologies Ag

Aptiv Technologies Limited

Benjamin Dilsaver

Baokun Liu

James F Searcy

James C Baar

Robert R Bugher

Xiuzhang Cai

Timothy D Garner

Steven D Kaufman

Yi Feng

Raul Alfonso Zubia Duran

Az Eddine Farouki

Raul Alfoso Zubia Duran

This document describes techniques and systems related to a radar system using a machine-learned model to identify the number of objects within each range-Doppler bin. For example, the radar system includes a processor that obtains radar data associated with objects and processes the radar data to generate beam vectors. The processor then uses a machine-learned model to identify the number of objects within each range-Doppler bin using extracted features (e.g., magnitude variation, signal-to-noise ratio, subarray beam vector correlations) of the beam vectors. The processor selects a particular angle-finding technique based on whether a single object or multiple objects are identified. In this way, the described systems and techniques more accurately identify the number of object in each range-Doppler bin, thus improving the computational efficiency and robustness of subsequent angle finding.

Radar system using a machine-learned model for identifying a number of objects

This document describes techniques, apparatuses, and systems for radar interference mitigation using signal pattern matching. Radar signals (e.g., chirps) received by a radar system may include interference from other nearby radar systems. The interference can result in reduced sensitivity of the radar system. The techniques, apparatuses, and systems described herein mitigate the interference by selecting an uncorrupted segment of the radar signal that neighbors a corrupted segment, analyzing the radar signal to identify a match segment that has similar signal characteristics to the neighbor segment, and replacing the corrupted segment with a segment that is adjacent to the match segment. In this manner, a noise floor of the radar system may be lowered, leading to increased sensitivity.

Radar interference mitigation using signal pattern matching

A detector testing system includes an environmental chamber configured to provide at least one selected environmental condition within the chamber. The environmental chamber includes an opening. A cover over the opening has at least one surface that is at least partially transparent to radiation that the detector is configured to receive. The cover is configured to maintain the at least one selected environmental condition within the environmental chamber. A detector support is configured to support a plurality of detectors exposed to the at least one selected environmental condition in a location within a space defined by the cover where the cover provides a detector field of view through the at least one surface. The detector field of view for each of the detectors has a horizontal range of at least 180&#xb0;.

Testing system for detectors useful on vehicles

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Kokomo, IN, United States of America

Benjamin Dilsaver