L₀-norm based adaptive equalization with PMSER criterion for underwater acoustic communications

Abstract

Underwater acoustic channels (UWA) are usually sparse, which can be exploited for adaptive equalization to improve the system performance. For the shallow UWA channels, based on the proportional minimum symbol error rate (PMSER) criterion, the adaptive equalization framework requires the sparsity selection. Since the sparsity of the L₀ norm is stronger than that of the L₁, we choose it to achieve better convergence. However, because the L₀ norm leads to NP-hard problems, it is difficult to find an efficient solution. In order to solve this problem, we choose the Gaussian function to approximate the L₀ norm. Simulation results show that the proposed scheme obtains better performance than the L₁ based counterpart.