A Robust DOA Estimator Based on Maximum Mixture Complex Correntropy for Noisy Input and Impulsive Noise
Haiquan Zhao, Wenjing Luo, Wenjing Xu
Abstract
Inspired by the robustness of maximum mixture complex correntropy (MMCC) to non-Gaussian and impulsive noises, an adaptive nulling antenna structure based MMCC adaptive filtering algorithm is presented in this brief to well solve the problem of direction of arrival (DOA) estimation in the presence of impulsive noise. To eliminate the estimation bias caused by array input noise, a bias compensated MMCC (BCMMCC) algorithm is further proposed. Then, the mean stability and computational complexity of the BCMMCC algorithm are analyzed. Finally, the simulation results show that the proposed BCMMCC algorithm has superior DOA estimation performance in noisy input and impulsive noise environments compared with other adaptive algorithms.