Improving DOA Estimation and Preventing Target Split Using Automotive Radar Sensor Arrays

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WEB OF SCIENCE

3
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SCOPUS

3

초록

In this paper, we propose an automotive radar sensor compensation method improving direction of arrival (DOA) and preventing target split tracking. Amplitude and phase mismatching and mutual coupling between radar sensor arrays cause an inaccuracy problem in DOA estimation. By quantifying amplitude and phase distortion levels for each angle, we compensate the sensor distortion. Applying the proposed method to Bartlett, Capon and multiple signal classification (MUSIC) algorithms, we experimentally demonstrate the performance improvement using both experimental data from the chamber and real data obtained in actual road.

키워드

automotive radar sensor array; radar sensor signal processing; radar sensor beamforming; radar sensor compensation; automotive DOA estimation; COMPENSATION
제목
Improving DOA Estimation and Preventing Target Split Using Automotive Radar Sensor Arrays
저자
Song, Heemang; Cho, Seunghoon; You, Kyung-Jin; Shin, Hyun-Chool
DOI
10.1587/transfun.E101.A.590
발행일
2018-03
유형
Article
저널명
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
권
E101A
호
3
페이지
590 ~ 594