Xu Jian-Zhong, Sun Hong-Wei, Sun Ye-Qi, Duan Ping-Guang. 2-D Direction of Arrival Estimation Method Using Radon-Wigner Transform[J]. Journal of Electronics & Information Technology, 2012, 34(4): 997-1001. doi: 10.3724/SP.J.1146.2011.00885
Citation:
Xu Jian-Zhong, Sun Hong-Wei, Sun Ye-Qi, Duan Ping-Guang. 2-D Direction of Arrival Estimation Method Using Radon-Wigner Transform[J]. Journal of Electronics & Information Technology, 2012, 34(4): 997-1001. doi: 10.3724/SP.J.1146.2011.00885
Xu Jian-Zhong, Sun Hong-Wei, Sun Ye-Qi, Duan Ping-Guang. 2-D Direction of Arrival Estimation Method Using Radon-Wigner Transform[J]. Journal of Electronics & Information Technology, 2012, 34(4): 997-1001. doi: 10.3724/SP.J.1146.2011.00885
Citation:
Xu Jian-Zhong, Sun Hong-Wei, Sun Ye-Qi, Duan Ping-Guang. 2-D Direction of Arrival Estimation Method Using Radon-Wigner Transform[J]. Journal of Electronics & Information Technology, 2012, 34(4): 997-1001. doi: 10.3724/SP.J.1146.2011.00885
According to the problem of two-dimension (2-D) Direction Of Arrival (DOA) estimation accuracy low for wideband Linear Frequency Modulation (LFM) signals, a method of 2-D DOA estimation based on Radon-Wigner Transform (RWT) is proposed. In this method, by using the excellent time-frequency concentration performance of RWT which can eliminate cross interference terms and noise effectively in the background of multiple sources firstly, the number of target is determined by peak researching, and the array signal is reconstructed. Finally the MUSIC spatial spectrum analysis algorithm is used to estimate the 2-D DOA of multiple LFM signals. The simulation results show that the method based on RWT can efficiently estimate 2-D DOA for non-stationary signals.