Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar
Sparse linear arrays provide better performance than the filled linear arrays in terms of angle estimation and resolution with reduced size and low cost. However, they are subject to manifold ambiguity. In this paper, both the transmit array and receive array are sparse linear arrays in the bistatic...
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Language: | English |
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Wiley
2013-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2013/784267 |
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author | Chaozhu Zhang Yucai Pang |
author_facet | Chaozhu Zhang Yucai Pang |
author_sort | Chaozhu Zhang |
collection | DOAJ |
description | Sparse linear arrays provide better performance than the filled linear arrays in terms of angle estimation and resolution with reduced size and low cost. However, they are subject to manifold ambiguity. In this paper, both the transmit array and receive array are sparse linear arrays in the bistatic MIMO radar. Firstly, we present an ESPRIT-MUSIC method in which ESPRIT algorithm is used to obtain ambiguous angle estimates. The disambiguation algorithm uses MUSIC-based procedure to identify the true direction cosine estimate from a set of ambiguous candidate estimates. The paired transmit angle and receive angle can be estimated and the manifold ambiguity can be solved. However, the proposed algorithm has high computational complexity due to the requirement of two-dimension search. Further, the Reduced-Dimension ESPRIT-MUSIC (RD-ESPRIT-MUSIC) is proposed to reduce the complexity of the algorithm. And the RD-ESPRIT-MUSIC only demands one-dimension search. Simulation results demonstrate the effectiveness of the method. |
format | Article |
id | doaj-art-24900417735e4bf2b6bc2e5d04605fad |
institution | Kabale University |
issn | 1537-744X |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | The Scientific World Journal |
spelling | doaj-art-24900417735e4bf2b6bc2e5d04605fad2025-02-03T01:09:27ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/784267784267Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO RadarChaozhu Zhang0Yucai Pang1College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaSparse linear arrays provide better performance than the filled linear arrays in terms of angle estimation and resolution with reduced size and low cost. However, they are subject to manifold ambiguity. In this paper, both the transmit array and receive array are sparse linear arrays in the bistatic MIMO radar. Firstly, we present an ESPRIT-MUSIC method in which ESPRIT algorithm is used to obtain ambiguous angle estimates. The disambiguation algorithm uses MUSIC-based procedure to identify the true direction cosine estimate from a set of ambiguous candidate estimates. The paired transmit angle and receive angle can be estimated and the manifold ambiguity can be solved. However, the proposed algorithm has high computational complexity due to the requirement of two-dimension search. Further, the Reduced-Dimension ESPRIT-MUSIC (RD-ESPRIT-MUSIC) is proposed to reduce the complexity of the algorithm. And the RD-ESPRIT-MUSIC only demands one-dimension search. Simulation results demonstrate the effectiveness of the method.http://dx.doi.org/10.1155/2013/784267 |
spellingShingle | Chaozhu Zhang Yucai Pang Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar The Scientific World Journal |
title | Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar |
title_full | Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar |
title_fullStr | Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar |
title_full_unstemmed | Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar |
title_short | Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar |
title_sort | sparse array angle estimation using reduced dimension esprit music in mimo radar |
url | http://dx.doi.org/10.1155/2013/784267 |
work_keys_str_mv | AT chaozhuzhang sparsearrayangleestimationusingreduceddimensionespritmusicinmimoradar AT yucaipang sparsearrayangleestimationusingreduceddimensionespritmusicinmimoradar |