DOA Estimation for CD Sources by Complex Cyclic Correntropy in an Impulsive Noise Environment

Impulsive noise degrades the performance of direction-of-arrival (DOA) estimation methods since the optimization for subspace-like techniques relies on an assumption of Gaussianity. By extending the benefit of cyclic correntropy to the complex field, this letter defines complex cyclic correntropy and deduces some important properties. To reduce the dependence on prior signal knowledge and improve the robustness, a novel kernel function is also derived based on the cumulative distribution function. For cyclostationary signals, an algorithm based on complex cyclic correntropy is proposed to estimate both the central DOA and angular spread for coherently distributed sources in impulsive noise environments. The simulation results verify that the proposed algorithm can achieve better performance than other algorithms in terms of impulsive noise suppression.