基于水声信道的TE-LCMMSE均衡算法仿真研究

Application of TE-LCMMSE Equalization Method to Improving Underwater Acoustic Communication

论述了应用于水声信道的Turbo均衡技术,针对水声信道多径衰落引起的码间干扰,提出了一种低复杂度的TE-LCMMSE算法,并在给定的水声信道下进行了仿真,仿真结果表明:基于软输入软输出的TE-LCMMSE均衡算法与理论最优的Map算法相比,在误码率为10-5时性能接近;与Max-Log-Map算法相比,具有近3 dB的性能增益,且算法复杂性大大降低,有效地提高了水声通信系统可靠性。

Aim. It is well known that underwater acoustic communication presents a great many difficulties. Taking advantage of the achievements of past researchers, we combine them into a novel turbo equalization linear complexity minimum mean square error （TE-LCMMSE） equalization method. In the full paper, we explain in some detail the novel equalization method and its application to simulating underwater acoustic communication. In this abstract, we just add some pertinent remarks to listing the two topics of explanation. The first topic is the turbo equalization method for underwater acoustic communication. In the first topic, we analyze the turbo equalization principles. Then, we explain how to combine the turbo equalization principles into TE-LCMMSE equalization method and why it can mitigate inter-symbol interference and improve communication performance. The second topic is the simulation results of the equalization method and their analysis. In the second topic, we present simulation results in Figs. 3 and 4. The analysis of these results shows preliminarily that our novel equalization method is better than the maximum logarithm maximum posteriori （Max-Log-Map） equalization method. When bit error ratio （BER） is 10^-5, the signal to noise ratio （SNR） of the TE-LCMMSE method is 3 dB lower than that of Max-Log-Map equalization method and the computation complexity is greatly reduced with TE-LCMMSE method.