稀疏水声信道判决反馈盲均衡算法研究

针对高速水声通信中信道的稀疏特性，提出了一种基于常数模准则的稀疏水声信道判决反馈盲均衡算法。该算法将改进的常数模算法与一种变化的判决反馈均衡器结构(部分反馈均衡器)有机结合，利用水声信道的稀疏特性，不但很好地实现了稀疏水声信道的盲均衡，而且简化了计算，易于算法的硬件实现。用典型稀疏水声信道进行了计算机仿真。结果表明，该算法性能稳定，计算量小，稳态均方误差低，整体性能与基于自适应LMS的稀疏迭代算法接近。该研究为高速水声通信中稀疏信道的均衡提供了一种可实现的方法。

For Sparse Underwater Acoustic Channel Equalization

A blind equalization algorithm based on constant modulus and sparse underwater acoustic channel is presented according to the sparse characteristic of the high rate underwater acoustic communications. The algorithm combines the improved constant modulus algorithm with a variation of the decision feedback equalizer, namely the partial feedback equalizer, and uses the sparse characteristic of the underwater acoustic channel. It can not only achieve better equalization of the sparse underwater acoustic channel, but also calculate effectively and use easily hardware to carry out the algorithm Simulation tests are dynamically conducted using the typical sparse underwater acoustic channel model. Simulation results show that the proposed algorithm has the advantages of robustness, calculation-efficient, lower steady state mean squared error, as compared to the self-adaptive LMS algorithm based sparse iteration.