Estimation and equalization of sparse underwater communication channels

Multipath channels with sparse impulse response arise in various communication scenarios. Multipath channel impulse response is depicted by a very few significant nonzero taps that are widely separated in time. In this paper, different estimation and equalization techniques are discussed which exploit sparse nature of radio communication channels. Various channel estimation techniques are implemented and a comprehensive comparative analysis is presented for sparse multipath channels. The implemented estimation algorithm/techniques include, Least Square (LS), Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Variable Step Size Least Mean Square (VSSLMS), and Matching Pursuit (MP).