会议专题

New Super-Exponential Iteration Blind Equalization Algorithm for Underwater Acoustic Communications

A new super-exponential decision feedback blind equalization algorithm is proposed in this paper. In comparison with the conventional SEI-DFE equalization algorithm, the proposed algorithm presents a new fast convergence weight update error function. Therefore, phase compensation ability and steady-state Mean Square Error (MSE) performance have been increased, but they dont significantly increase the computational complexity. At the same time, a second order digital phase-locked loop is introduced in order to track and compensate phase rotation. The MSE and carrier recovery performance of the proposed algorithm are better than that of the SEI-DFE algorithm, which is verified by computer simulation. In addition, the MULAN Lake experiment shows that the performance of the proposed algorithm is better than that of the SEI-DFE algorithm in terms of Bit Error Rate (BER) by comparing the influences causing filter weight vector length, step size and Q matrix size.

underwater acoustic communication blind equalization super-exponential decision feedback digital phase-locked loop

Xiao-ling Ning Zhong Liu Zhi-kun Liu Lin-sen Zhang

College of Electronics Engineering, Naval University of Engineering, Wuhan, China Dept. of Weaponry Engineering, Naval University of Engineering, Wuhan, China

国际会议

2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

武汉

英文

468-473

2011-10-21(万方平台首次上网日期,不代表论文的发表时间)