Maximum Correntropy Criterion based Sparse Channel Estimation under Impulsive Noise in Complex Domain

A robust adaptive channel estimation algorithm based on convex combination maximum correntropy criterion (CMCC) is proposed. Compared with the original CMCC, this paper extends it to the complex domain to process complex signals on the baseband. At the same time, considering the sparse physical characteristics of the underwater acoustic (UWA) channel, a norm penalty constraint is incorporated into the cost function to improve the estimation performance. Based on the sound speed and noise measured by the ninth Chinese National Arctic Research Expedition, we have done some simulation verification. The results indicate that the proposed algorithm achieves better performance in terms of tracking ability and lower steady-state error, which proves its practicability and effectiveness.