2-D DOA Robust Estimation of Echo Signals Based on Multiple Satellites Passive Radar in the Presence of Alpha Stable Distribution Noise
Mingqian Liu, Junlin Zhang, Jie Tang, Fan Jiang, Peng Liu, Fengkui Gong, Nan Zhao · IEEE Access · 2019
In this paper, the low-performance problem of two-dimensional (2-D) direction of arrival (DOA) estimation with non-Gaussian noise in low signal-to-noise ratio is addressed. For echo signals of the multiple satellites' passive radar, a robust 2-D DOA estimation method based on improved zero-order statistics fractional low-order cyclic correlation (IZOS-FLOCC) under the alpha-stable distribution noise environment is proposed. First, we employ a uniform plane array to establish the model of received signals. Then, the IZOS-FLOCC of the echo signals is constructed based on the cyclostationarity. Finally, the IZOS-FLOCC of signals subspace is obtained by the optimization method. Moreover, we derive the Cramer-Rao low bound of the 2-D DOA estimation of echo signals based on multiple satellites' passive radar in the presence of alpha-stable distribution noise. The simulation results show that the proposed method can effectively estimate the 2-D DOA of echo signals based on multi-satellite radiation sources in the alpha-stable distribution noise environment and achieve better performance than the existing methods.