Wang Wei, Wang Xiao-Meng, Li Xin, Chen Guang. Reduced-dimensional DOA Estimation Based on MUSIC Algorithm in MIMO Radar with L-shaped Array[J]. Journal of Electronics & Information Technology, 2014, 36(8): 1954-1959. doi: 10.3724/SP.J.1146.2013.01281
Citation:
Wang Wei, Wang Xiao-Meng, Li Xin, Chen Guang. Reduced-dimensional DOA Estimation Based on MUSIC Algorithm in MIMO Radar with L-shaped Array[J]. Journal of Electronics & Information Technology, 2014, 36(8): 1954-1959. doi: 10.3724/SP.J.1146.2013.01281
Wang Wei, Wang Xiao-Meng, Li Xin, Chen Guang. Reduced-dimensional DOA Estimation Based on MUSIC Algorithm in MIMO Radar with L-shaped Array[J]. Journal of Electronics & Information Technology, 2014, 36(8): 1954-1959. doi: 10.3724/SP.J.1146.2013.01281
Citation:
Wang Wei, Wang Xiao-Meng, Li Xin, Chen Guang. Reduced-dimensional DOA Estimation Based on MUSIC Algorithm in MIMO Radar with L-shaped Array[J]. Journal of Electronics & Information Technology, 2014, 36(8): 1954-1959. doi: 10.3724/SP.J.1146.2013.01281
A reduced-dimensional Direction Of Arrival (DOA) estimation method in monostatic MIMO radar with L-shaped array based on MUSIC algorithm is proposed. Firstly, considering of the steering vector of L-shaped array, a reduced-dimensional matrix is employed to transform the data matrix into a low dimensional space. Then the quadratic optimization algorithm is utilized to decompose two-dimensional (2-D) DOA estimation into two one-dimensional (1-D) DOA estimation. Finally, one of the two angles is estimated by MUSIC spatial spectrum, then the other angle is estimated by Root-MUSIC method with the spatial spectrum function. The proposed method which only requires 1-D search, can greatly avoid the high computational cost within 2-D MUSIC algorithm. Simulation results verify its correctness and feasibility.