稀疏水声信道常数模盲均衡

Sparse Underwater Acoustic Channel Constant Modulus Blind Equalization

在水声传输系统中,高速水声通信中的主要障碍是多途引起的码间干扰,而传统的均衡技术由于过多发送训练队列,大大降低了效率,因此盲均衡技术应运而生。由于盲均衡技术不需要发送训练队列,数据的传输速率得到有效提升。根据稀疏水声信道的特点,研究盲均衡技术的几种常见算法,并针对常见算法在能量阈值设定过大或过小而导致均衡性能下降的情况,提出一种基于瞬时梯度判决的并联稀疏盲均衡算法,同时使用MATLAB软件进行仿真分析,验证了算法性能及其可行性。

In the underwater acoustic transmission system, the main obstacle for high-speed underwater acoustic communication is intersymbol interference caused by multi-way, and the traditional equalization technology, for over-transmitting too many training queues, greatly reduce the efficiency. Queues, and thus the blind equalization technology emerges because of demand. Since this technology requires no sending of training queue, the data transfer rate achieves an effective hoisting. Based on the characteristics of sparse acoustic channels, several common algorithms are studied, and aiming at the problem that the equalization performance is degraded when the energy thresholds are set too large or too small, a new parallel algorithm based on instantaneous gradient decision is proposed. Sparse blind equalization algorithm, and the simulation with MATLAB software indicates the performance and feasibility of the algorithm.