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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2009-09-26
Blind Joint DOA and DOD Estimation and Identifiability Results for MIMO Radar with Different Transmit / Receive Array Manifolds
By
Xiaofei Zhang,

    Prof. Xiaofei Zhang

    Electronic Engineering Department

    Nanjing University of Aeronautics & Astronautics

    China

    Homepage

Xin Gao,

    Dr. Xin Gao

    Electronic Engineering Department

    Nanjing University of Aeronautics & Astronautics

    China

    Homepage

Gaopeng Feng,

    Dr. Gaopeng Feng

    Electronic Engineering Department

    Nanjing University of Aeronautics & Astronautics

    China

    Homepage

Dazhuan Xu

    Professor Dazhuan Xu

    College of Information Science and Technology

    Nanjing University of Aeronautics & Astronautics

    China

    Homepage

Progress In Electromagnetics Research B, Vol. 18, 101-119, 2009
doi:10.2528/PIERB09050603 | Google Scholar

Abstract
This paper derives its link of direction of arrival (DOA) and direction of departure (DOD) estimation problem for multi-input multi-output (MIMO) radar to the trilinear model. With the exploitation of this link, we present a trilinear decomposition-based blind algorithm for angle estimation in MIMO radar. After the algorithmic presentation and discussions for identifiability results, trilinear decomposition-based angle estimation under different array conditions has also been investigated. Our proposed algorithm works well without either spectral peak searching or pair matching, has better angle estimation performance than ESPRIT, and even supports small sampling sizes. Simulation trials testify that the merits of our algorithmic performance are in collaboration with theoretical findings.
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Citation
Xiaofei Zhang, Xin Gao, Gaopeng Feng, and Dazhuan Xu, "Blind Joint DOA and DOD Estimation and Identifiability Results for MIMO Radar with Different Transmit / Receive Array Manifolds," Progress In Electromagnetics Research B, Vol. 18, 101-119, 2009.
doi:10.2528/PIERB09050603
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