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

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

doi:10.1587/transfun.E101.A.590

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

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

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.3 pp.590-594

Publication Date: 2018/03/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E101.A.590

Type of Manuscript: LETTER

Category: Digital Signal Processing

Authors

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

Keyword

automotive radar sensor array, radar sensor signal processing, radar sensor beamforming, radar sensor compensation, automotive DOA estimation

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Heemang SONG, Seunghoon CHO, Kyung-Jin YOU, Hyun-Chool SHIN, "Improving DOA Estimation and Preventing Target Split Using Automotive Radar Sensor Arrays" in IEICE TRANSACTIONS on Fundamentals, vol. E101-A, no. 3, pp. 590-594, March 2018, doi: 10.1587/transfun.E101.A.590.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.590/_p

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@ARTICLE{e101-a_3_590,
author={Heemang SONG, Seunghoon CHO, Kyung-Jin YOU, Hyun-Chool SHIN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Improving DOA Estimation and Preventing Target Split Using Automotive Radar Sensor Arrays},
year={2018},
volume={E101-A},
number={3},
pages={590-594},
abstract={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.},
keywords={},
doi={10.1587/transfun.E101.A.590},
ISSN={1745-1337},
month={March},}

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TY - JOUR
TI - Improving DOA Estimation and Preventing Target Split Using Automotive Radar Sensor Arrays
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 590
EP - 594
AU - Heemang SONG
AU - Seunghoon CHO
AU - Kyung-Jin YOU
AU - Hyun-Chool SHIN
PY - 2018
DO - 10.1587/transfun.E101.A.590
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2018
AB - 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.
ER -