基于压缩感知的OFDM水声通信信道二次估计算法

该文主要研究OFDM水声通信信道二次估计技术，针对传统信道二次估计算法跟踪估计缓慢时变水声信道存在误码遗传的缺点，提出了一种基于压缩感知的信道二次估计算法。该算法结合水声信道的稀疏特性，利用经过编码校验后的大多数可靠信息，二次匹配追踪信道频域响应，作为系统均衡器的反馈输入信息和次时段信道初始信息，有效地抑制了系统的误码遗传。通过Matlab仿真实验和水池试验，验证了基于压缩感知的信道二次估计算法的可靠性和高效性。

The complex channel estimation based on compress sensing in OFDM via underwater acoustic channel

A twice decision channel equalization algorithm of Orthogonal Frequency Division Multiplexing (OFDM) via shallow underwater acoustic (UWA) channel is studied in this paper. The corrected and the raw information are used for channel re-estimation. By taking the advantage of shallow UWA channel''s spares characters, the channel can be constructed by matching pursuit (MP) ameliorated twice decision channel equalization algorithm based on compress sensing (CS) theory without error propagation. Experimental results performed with Monte Carlo simulation and tank-trial data are provided for demonstrating that the proposed algorithm can effectively offer confined error propaga-tion and significantly increase the quality of the system.