A PE-MUSIC Algorithm for Sparse Array in MIMO Radar
Larger array aperture is provided by sparse arrays than uniform ones, which can improve the angle estimation resolution and reduce the cost of system evidently. However, manifold ambiguity is introduced due to the array sparsity. In this paper, a Power Estimation Multiple-Signal Classification (PE-M...
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2021-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/6647747 |
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doaj-ee28ebc5f8154d95a8512179695008a12021-02-15T12:53:09ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472021-01-01202110.1155/2021/66477476647747A PE-MUSIC Algorithm for Sparse Array in MIMO RadarYucai Pang0Song Liu1Yun He2Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaChongqing University of Posts and Telecommunications, Chongqing 400065, ChinaChongqing University of Posts and Telecommunications, Chongqing 400065, ChinaLarger array aperture is provided by sparse arrays than uniform ones, which can improve the angle estimation resolution and reduce the cost of system evidently. However, manifold ambiguity is introduced due to the array sparsity. In this paper, a Power Estimation Multiple-Signal Classification (PE-MUSIC) algorithm is proposed to solve the manifold ambiguity of arbitrary sparse arrays for uncorrelated sources in Multiple-Input Multiple-Output (MIMO) radar. First, the paired direction of departure (DOD) and direction of arrival (DOA) are obtained for all targets by MUSIC algorithm, including the true and spurious ones; then, the well-known Davidon–Fletcher–Powell (DFP) algorithm is applied to estimate all targets’ power values, among which the value of a spurious target trends to zero. Therefore, the ambiguity of sparse array in MIMO radar can be cleared. Simulation results verify the effectiveness and feasibility of the method.http://dx.doi.org/10.1155/2021/6647747 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yucai Pang Song Liu Yun He |
spellingShingle |
Yucai Pang Song Liu Yun He A PE-MUSIC Algorithm for Sparse Array in MIMO Radar Mathematical Problems in Engineering |
author_facet |
Yucai Pang Song Liu Yun He |
author_sort |
Yucai Pang |
title |
A PE-MUSIC Algorithm for Sparse Array in MIMO Radar |
title_short |
A PE-MUSIC Algorithm for Sparse Array in MIMO Radar |
title_full |
A PE-MUSIC Algorithm for Sparse Array in MIMO Radar |
title_fullStr |
A PE-MUSIC Algorithm for Sparse Array in MIMO Radar |
title_full_unstemmed |
A PE-MUSIC Algorithm for Sparse Array in MIMO Radar |
title_sort |
pe-music algorithm for sparse array in mimo radar |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2021-01-01 |
description |
Larger array aperture is provided by sparse arrays than uniform ones, which can improve the angle estimation resolution and reduce the cost of system evidently. However, manifold ambiguity is introduced due to the array sparsity. In this paper, a Power Estimation Multiple-Signal Classification (PE-MUSIC) algorithm is proposed to solve the manifold ambiguity of arbitrary sparse arrays for uncorrelated sources in Multiple-Input Multiple-Output (MIMO) radar. First, the paired direction of departure (DOD) and direction of arrival (DOA) are obtained for all targets by MUSIC algorithm, including the true and spurious ones; then, the well-known Davidon–Fletcher–Powell (DFP) algorithm is applied to estimate all targets’ power values, among which the value of a spurious target trends to zero. Therefore, the ambiguity of sparse array in MIMO radar can be cleared. Simulation results verify the effectiveness and feasibility of the method. |
url |
http://dx.doi.org/10.1155/2021/6647747 |
work_keys_str_mv |
AT yucaipang apemusicalgorithmforsparsearrayinmimoradar AT songliu apemusicalgorithmforsparsearrayinmimoradar AT yunhe apemusicalgorithmforsparsearrayinmimoradar AT yucaipang pemusicalgorithmforsparsearrayinmimoradar AT songliu pemusicalgorithmforsparsearrayinmimoradar AT yunhe pemusicalgorithmforsparsearrayinmimoradar |
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1714866563106996224 |