Super-resolution DOA Estimation Method for a Moving Target Equipped with a Millimeter-wave Radar Based on RD-ANM

Super-resolution Direction of Arrival (DOA) estimation is a critical problem related to vehicle-borne Millimeter-wave radars that needs to be solved to realize accurate target positioning and tracking. Based on the common conditions of limited array aperture, low snapshot, low signal-to-noise ratio,...

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Main Authors: Yue SHU, Dongning FU, Zhanye CHEN, Yan HUANG, Yanjun ZHANG, Xiaoheng TAN, Jun TAO
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2023-10-01
Series:Leida xuebao
Subjects:
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR23040
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author Yue SHU
Dongning FU
Zhanye CHEN
Yan HUANG
Yanjun ZHANG
Xiaoheng TAN
Jun TAO
author_facet Yue SHU
Dongning FU
Zhanye CHEN
Yan HUANG
Yanjun ZHANG
Xiaoheng TAN
Jun TAO
author_sort Yue SHU
collection DOAJ
description Super-resolution Direction of Arrival (DOA) estimation is a critical problem related to vehicle-borne Millimeter-wave radars that needs to be solved to realize accurate target positioning and tracking. Based on the common conditions of limited array aperture, low snapshot, low signal-to-noise ratio, and coherent sources with respect to vehicle-borne scenarios, a super-resolution DOA estimation method for a moving target with an MMW radar based on Range-Doppler Atom Norm Minimize (RD-ANM) is proposed herein. First, an array for receiving signals in the range-Doppler domain is constructed based on the radar echo of the moving target. Then, the compensation vector for the Doppler coupling phase of the moving target is designed to reduce the influence of target motion on DOA estimation. Finally, a multitarget super-resolution DOA estimation method based on the atomic norm framework is proposed herein. Compared to the existing DOA estimation algorithm, the proposed algorithm can achieve higher angular resolution and estimation accuracy owing to low signal-to-noise ratio and single snapshot processing conditions, as well as robust performance in processing coherent sources without sacrificing array aperture. The effectiveness of the proposed algorithm is proven via theoretical analyses, numerical simulations, and experiments.
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spelling doaj.art-eadfce046d8946ebae985cf1246fba1e2023-11-14T06:01:21ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2023-10-0112598699910.12000/JR23040R23040Super-resolution DOA Estimation Method for a Moving Target Equipped with a Millimeter-wave Radar Based on RD-ANMYue SHU0Dongning FU1Zhanye CHEN2Yan HUANG3Yanjun ZHANG4Xiaoheng TAN5Jun TAO6School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, ChinaHwa Create Technology Cop., Ltd., Beijing 100193, ChinaSchool of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, ChinaState Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing 210096, ChinaKey Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, School of Information Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, ChinaKey Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, School of Information Science and Engineering, Southeast University, Nanjing 210096, ChinaSuper-resolution Direction of Arrival (DOA) estimation is a critical problem related to vehicle-borne Millimeter-wave radars that needs to be solved to realize accurate target positioning and tracking. Based on the common conditions of limited array aperture, low snapshot, low signal-to-noise ratio, and coherent sources with respect to vehicle-borne scenarios, a super-resolution DOA estimation method for a moving target with an MMW radar based on Range-Doppler Atom Norm Minimize (RD-ANM) is proposed herein. First, an array for receiving signals in the range-Doppler domain is constructed based on the radar echo of the moving target. Then, the compensation vector for the Doppler coupling phase of the moving target is designed to reduce the influence of target motion on DOA estimation. Finally, a multitarget super-resolution DOA estimation method based on the atomic norm framework is proposed herein. Compared to the existing DOA estimation algorithm, the proposed algorithm can achieve higher angular resolution and estimation accuracy owing to low signal-to-noise ratio and single snapshot processing conditions, as well as robust performance in processing coherent sources without sacrificing array aperture. The effectiveness of the proposed algorithm is proven via theoretical analyses, numerical simulations, and experiments.https://radars.ac.cn/cn/article/doi/10.12000/JR23040millimeter-wave radardirection of arrival for moving targetatomic normsingle snapshotsuper resolution
spellingShingle Yue SHU
Dongning FU
Zhanye CHEN
Yan HUANG
Yanjun ZHANG
Xiaoheng TAN
Jun TAO
Super-resolution DOA Estimation Method for a Moving Target Equipped with a Millimeter-wave Radar Based on RD-ANM
Leida xuebao
millimeter-wave radar
direction of arrival for moving target
atomic norm
single snapshot
super resolution
title Super-resolution DOA Estimation Method for a Moving Target Equipped with a Millimeter-wave Radar Based on RD-ANM
title_full Super-resolution DOA Estimation Method for a Moving Target Equipped with a Millimeter-wave Radar Based on RD-ANM
title_fullStr Super-resolution DOA Estimation Method for a Moving Target Equipped with a Millimeter-wave Radar Based on RD-ANM
title_full_unstemmed Super-resolution DOA Estimation Method for a Moving Target Equipped with a Millimeter-wave Radar Based on RD-ANM
title_short Super-resolution DOA Estimation Method for a Moving Target Equipped with a Millimeter-wave Radar Based on RD-ANM
title_sort super resolution doa estimation method for a moving target equipped with a millimeter wave radar based on rd anm
topic millimeter-wave radar
direction of arrival for moving target
atomic norm
single snapshot
super resolution
url https://radars.ac.cn/cn/article/doi/10.12000/JR23040
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