Compressed Sensing Trilinear Model-Based Angle Estimation for Bistatic MIMO Radar

Abstract:

In this paper, we address the transmit angle and receive angle estimation problem for a bistatic multiple-input multiple-output (MIMO) radar. This paper links MIMO radar angle estimation problem to the compressed sensing trilinear model. Exploiting this link, it derives a compressed sensing trilinear model-based angle estimation algorithm, which can obtain automatically paired two-dimensional angle estimation. The proposed algorithm requires no spectral peak searching or pair matching, and it has better angle estimation performance than conventional algorithms including estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm. Simulation results illustrate performance of the algorithm.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 1033-1038
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.1033
• Online since: August 2013
• Authors: Xiao Fei Zhang, Jian Feng Li, Ming Zhou, De Ben
• Keywords: Angle Estimation, Array Signal Processing, Compressed Sensing, Multiple-Input Multiple-Output (MIMO) Radar, Trilinear Model

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