A better estimation method of sparse shallow-water acoustic channel under a low signal to noise environment

The estimation of sparse shallow-water acoustic channel under a low signal to noise ratio (SNR) environment based on convex optimization is proposed. Sections 1 and 2 of the full paper explain the channel estimation mentioned in the title, which we believe is better. The core of sections 1 and 2 is subsection 2.2, whose core in turn consists of: (1) it estimates the channel impulse response based on the least squares criterion, with the matching pursuit algorithm; (2) the method uses the sparse structure of shallow-water acoustic channel, and the l₁-norm of the channel impulse response is chosen as the cost function; eq. (13) is worth noticing. Simulation results, presented in Figs. 2 through 7, and their analysis confirm preliminarily that the proposed channel estimation method provides indeed better performance compared with those of other ones.