基于RENYI熵的水声信道判决反馈盲均衡算法研究

在水下通信系统中，为了抑制由多径效应产生的严重码间干扰，必须进行信道均衡。针对传统的常数模判决反馈盲均衡(CMA-DFE)收敛速度较慢的问题，该文提出了一种基于RENYI熵的判决反馈盲均衡算法(RENYI-DFE)。该算法使用RENYI熵算法调节均衡器前向权向量，用CMA算法调节均衡器反馈权向量，与CMA-DFE相比，该算法在计算量增加很小的情况下，使得盲均衡算法的收敛速度显著增加。仿真结果证明了该算法的优越性。

Decision Feedback Blind Equalization Algorithm Based on RENYI Entropy for Underwater Acoustic Channels

In order to depress the severe Inter-Symbol Interference (ISI) caused by multi-path fading, channels must be equalized in underwater communication systems. To enhance the convergence ability of the traditional Constant Modulus Algorithm with Decision Feedback Equalization (CMA-DFE), a decision feedback blind equalization algorithm based on RENYI entropy is proposed in this paper. The proposed algorithm adjusts the forward equalizer coefficients with RENYI entropy algorithm and the backward equalizer coefficients with CMA algorithm. Compared with CMA-DFE, RENYI-DFE algorithm has accelerated the convergence speed of the blind equalizer with only little computational cost. The performance of the algorithm is validated by computer simulations.