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| Reduced-dimensional DOA Estimation Based on ESPRIT Algorithm in Monostatic MIMO Radar with Cross Array |
| LIANG Hao CUI Chen YU Jian |
| (401 Laboratory, Electronic Engineering Institute, Hefei 230037, China) |
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Abstract To solve the problem of two dimensional angles estimation for MIMO radar with cross array, a new reduced-dimensional Direction Of Arrival (DOA) estimation method based on ESPRIT algorithm is proposed. Through the reduced-dimensional matrix design and reduced-dimensional transformation, the high dimensional received data can be transformed into a low dimensional signal space, and the corresponding data redundancy can be removed at the greatest degree. The signal space in a real-value field can be estimated through the unitary transformation of matrix, and parameters can be jointly estimated using ESPRIT algorithm with automatic pairing. The proposed algorithm, obtaining signal to noise ratio gain and snapshots gain, can reduce effectively the dimension of received data and the computational complexity of parameters estimation without costing the aperture of array. Lastly, simulation results verify the correctness of theoretical analysis and the effectiveness of the proposed algorithm.
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Received: 08 April 2015
Published: 27 August 2015
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| Fund: The National Natural Science Foundation of China (60702015), Research Fund of Electronic Engineering Institute (KY13A206) |
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Corresponding Authors:
LIANG Hao
E-mail: lhmailhappy@163.com
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