Title :
Trilinear decomposition-based transmit angle and receive angle estimation for multiple-input multiple-output radar
Author :
Zhang, Xiaobing ; Xu, Zongben ; Xu, Lie ; Xu, D.
Author_Institution :
Dept. of Electron. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fDate :
7/1/2011 12:00:00 AM
Abstract :
In this study, the authors address the problem of angle estimation in a bistatic multiple-input multiple-output (MIMO) radar. This study links the problem to the trilinear model, and then we derive a trilinear decomposition-based angle estimation algorithm, which can obtain automatically paired 2D angle estimation. The proposed algorithm requires no spectral peak searching or pair matching, and it has better angle estimation performance than conventional algorithms such as the estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm and the root multiple signal classification (MUSIC) algorithm. Simulation results illustrate performance of the proposed algorithm.
Keywords :
MIMO radar; radar signal processing; signal classification; ESPRIT algorithm; bistatic MIMO radar; multiple-input multiple-output radar; root multiple signal classification; rotational invariance technique; signal parameter estimation; trilinear decomposition-based receive angle estimation; trilinear decomposition-based transmit angle estimation;
Journal_Title :
Radar, Sonar & Navigation, IET
DOI :
10.1049/iet-rsn.2010.0265