Tensor-Based Angle and Array Gain-Phase Error Estimation Scheme in Bistatic MIMO Radar

This paper investigates the issue of angle and array gain-phase error estimation in multiple-input-multiple-output (MIMO) radar, and a tensor-based angle and gain-phase error estimation scheme is proposed. In our approach, the parallel factor (PARAFAC) decomposition is performed to estimate the tran...

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Main Authors: Yuehao Guo, Xianpeng Wang, Liangtian Wan, Mengxing Huang, Chong Shen, Kun Zhang, Yongqin Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8684229/
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spelling doaj-121b8cdd0037489f8607d7b06961abc62021-03-29T22:32:35ZengIEEEIEEE Access2169-35362019-01-017479724798110.1109/ACCESS.2019.29097608684229Tensor-Based Angle and Array Gain-Phase Error Estimation Scheme in Bistatic MIMO RadarYuehao Guo0Xianpeng Wang1https://orcid.org/0000-0002-6681-6489Liangtian Wan2Mengxing Huang3Chong Shen4Kun Zhang5Yongqin Yang6State Key Laboratory of Marine Resource Utilization in South China Sea, College of Information Science and Technology, Hainan University, Haikou, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, College of Information Science and Technology, Hainan University, Haikou, ChinaKey Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, College of Information Science and Technology, Hainan University, Haikou, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, College of Information Science and Technology, Hainan University, Haikou, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, College of Information Science and Technology, Hainan University, Haikou, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, College of Information Science and Technology, Hainan University, Haikou, ChinaThis paper investigates the issue of angle and array gain-phase error estimation in multiple-input-multiple-output (MIMO) radar, and a tensor-based angle and gain-phase error estimation scheme is proposed. In our approach, the parallel factor (PARAFAC) decomposition is performed to estimate the transmit and receive direction matrices. Then the estimation of gain error can be obtained according to the relationship between the columns of direction matrices. After that, the linear feature of the phase in the additional well-calibrated array element is utilized to estimate the angles. Finally, by fully using the phase characteristics of all arrays, the phase error can be obtained. Our approach can remove the influence of error accumulation, and thus it has a superior angle and gain-phase error estimation performance, particularly under the condition of low signal-to-noise ratio (SNR). The numerical examples validate the superiority and effectiveness of the proposed scheme.https://ieeexplore.ieee.org/document/8684229/Bistatic MIMO radarangle estimationgain-phase errorparallel factor decomposition
collection DOAJ
language English
format Article
sources DOAJ
author Yuehao Guo
Xianpeng Wang
Liangtian Wan
Mengxing Huang
Chong Shen
Kun Zhang
Yongqin Yang
spellingShingle Yuehao Guo
Xianpeng Wang
Liangtian Wan
Mengxing Huang
Chong Shen
Kun Zhang
Yongqin Yang
Tensor-Based Angle and Array Gain-Phase Error Estimation Scheme in Bistatic MIMO Radar
IEEE Access
Bistatic MIMO radar
angle estimation
gain-phase error
parallel factor decomposition
author_facet Yuehao Guo
Xianpeng Wang
Liangtian Wan
Mengxing Huang
Chong Shen
Kun Zhang
Yongqin Yang
author_sort Yuehao Guo
title Tensor-Based Angle and Array Gain-Phase Error Estimation Scheme in Bistatic MIMO Radar
title_short Tensor-Based Angle and Array Gain-Phase Error Estimation Scheme in Bistatic MIMO Radar
title_full Tensor-Based Angle and Array Gain-Phase Error Estimation Scheme in Bistatic MIMO Radar
title_fullStr Tensor-Based Angle and Array Gain-Phase Error Estimation Scheme in Bistatic MIMO Radar
title_full_unstemmed Tensor-Based Angle and Array Gain-Phase Error Estimation Scheme in Bistatic MIMO Radar
title_sort tensor-based angle and array gain-phase error estimation scheme in bistatic mimo radar
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description This paper investigates the issue of angle and array gain-phase error estimation in multiple-input-multiple-output (MIMO) radar, and a tensor-based angle and gain-phase error estimation scheme is proposed. In our approach, the parallel factor (PARAFAC) decomposition is performed to estimate the transmit and receive direction matrices. Then the estimation of gain error can be obtained according to the relationship between the columns of direction matrices. After that, the linear feature of the phase in the additional well-calibrated array element is utilized to estimate the angles. Finally, by fully using the phase characteristics of all arrays, the phase error can be obtained. Our approach can remove the influence of error accumulation, and thus it has a superior angle and gain-phase error estimation performance, particularly under the condition of low signal-to-noise ratio (SNR). The numerical examples validate the superiority and effectiveness of the proposed scheme.
topic Bistatic MIMO radar
angle estimation
gain-phase error
parallel factor decomposition
url https://ieeexplore.ieee.org/document/8684229/
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