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Low-complexity ESPRIT–Root-MUSIC Algorithm for Non-circular Source in Bistatic MIMO Radar
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Low-complexity ESPRIT–Root-MUSIC Algorithm for Non-circular Source in Bistatic MIMO Radar
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Journal Article
Low-complexity ESPRIT–Root-MUSIC Algorithm for Non-circular Source in Bistatic MIMO Radar
2015
Overview
We study the problem of angle estimation for non-circular sources in bistatic multiple-input multiple-output (MIMO) radar system and propose a low-complexity ESPRIT–Root-MUSIC algorithm for joint direction of departure (DOD) and direction of arrival (DOA) estimation. By taking the non-circularity characteristics of the impinging signals, the received data can be extended, which corresponds to double the number of elements in MIMO radar. Then a novel signal subspace, based on the multistage wiener filter, can be determined directly from the extended data, which does not involve the estimation of covariance matrix and its eigenvalue decomposition (EVD), thus implying that the proposed method is computationally efficient. Finally, the DOD and DOA are estimated by ESPRIT and Root-MUSIC, respectively. Compared with EVD-based algorithms, the proposed method provides the comparable angle estimation performance with lower computational complexity. Some simulation results verify the validity of the proposed method.
Publisher
Springer US,Springer Nature B.V
Subject
