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

Heemang SONG  Seunghoon CHO  Kyung-Jin YOU  Hyun-Chool SHIN  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E101-A   No.3   pp.590-594
Publication Date: 2018/03/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E101.A.590
Type of Manuscript: LETTER
Category: Digital Signal Processing
Keyword: 
automotive radar sensor array,  radar sensor signal processing,  radar sensor beamforming,  radar sensor compensation,  automotive DOA estimation,  

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Summary: 
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.