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| Co-prime MIMO Radar Multi-parameter Estimation Based on Tensor Decomposition |
| Fan Jin-yu① Gu Hong① Su Wei-min① Chen Jin-li② |
①(School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China)
②(Colllege of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China) |
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Abstract A novel algorithm for estimation of Direction Of Departure (DOD), Direction Of Arrival (DOA), and Doppler frequency based on bistatic MIMO radar with Co-Prime Array (CPA) is presented. The transmit and receive arrays are both composed of a pair of sparse uniform subarrays. Similarly, a pair of snapshot sequences with co-prime intervals constitutes the sampling of temporal. Three manifold matrices which contain multi-targets’ DODs, DOAs and Doppler frequencies respectively are estimated through tensor decomposition. From which a group of Vandermonde matrices of virtual manifold are constructed. To improve the estimation accuracy, an error depressing algorithm based on eigenvalue decomposition is proposed. Finally, the above three parameters are estimated by an Estimation of Signal Parameters via Rotation Invariant Techniques (ESPRIT) algorithm. The proposed algorithm offers better performance through virtual array and virtual snapshot without parameter ambiguous. It requires neither peak searching nor pairing processes, and the simulation results are presented to verify the effectiveness of the proposed algorithm.
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Received: 23 June 2014
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Corresponding Authors:
Fan Jin-yu
E-mail: chisame904@gmail.com
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2015, Vol. 37 
