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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Veröffentlicht in:TheScientificWorld Jg. 2013; H. 2013; S. 1 - 6
Hauptverfasser: Zhang, Chaozhu, Pang, Yucai
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 01.01.2013
John Wiley & Sons, Inc
Wiley
Schlagworte:
Acoustics
Algorithms
Ambiguity
Complexity
Computer applications
Computer Simulation
Equipment and supplies
International conferences
Linear arrays
MIMO communications
Models, Theoretical
Music
Parameter estimation
Properties
Radar
Radar arrays
Radar systems
Sensors
Signal processing
ISSN:2356-6140, 1537-744X, 1537-744X
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Zusammenfassung: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.
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Academic Editors: E. A. Marengo, K. Teh, and A. Torsello
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2013/784267