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BLIND JOINT DOA AND DOD ESTIMATION AND IDEN- TIFIABILITY RESULTS FOR MIMO RADAR WITH DIF- FERENT TRANSMIT/RECEIVE ARRAY MANIFOLDS

By X. Zhang, X. Gao, G. Feng and D. Xu

Abstract

Abstract—This paper derives its link of direction of arrival (DOA) and direction of departure (DOD) estimation problem for multiinput multi-output (MIMO) radar to the trilinear model. With the exploitation of this link, we present a trilinear decompositionbased 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. 1

Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.413.4938
Provided by: CiteSeerX
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