Circlar Decoding and Sparse Channel Estimation for Underwater MIMO-OFDM

In UWA (underwater acoustic) communications, data rate is severely limited by the confined bandwidth source of aquatic channel. MIMO (Multiple-input Multiple-output) techniques can drastically improve the spectral efficiency, and have been a new point of reference in UWA commutations. For the estimation of UWA channel which is usually sparse, CS (compress sensing) along with STBC (space-time block code) is adopted with improved results. A design of mixing coding MIMO-OFDM is also presented in the proposed method. The validity and the dependability of this scheme are verified by Monte Carlo simulations.