基于统计特性均衡准则的线性符号判决反馈盲均衡算法

为了克服多途水声信道引起信号的相位旋转及基于高阶统计量的线性均衡器（LE）收敛后均方误差大的不足,提出了基于统计特性均衡准则的线性符号判决反馈盲均衡算法。该算法充分利用高阶统计量所包含的相位信息、均衡器输出信息的非线性变换及判决反馈算法来补偿相位旋转;利用符号算法可以减少计算量的特点来加快收敛速度;利用判决反馈滤波器的性能来减小均衡器输出的均方误差。因此,该算法在减小均方误差与补偿相位旋转方面的性能优于基于统计特性均衡准则的线性盲均衡算法;在收敛速度方面的性能优于基于统计特性均衡准则的线性判决反馈盲均衡算法。通过水声信道的仿真实验,验证了该算法的有效性和可靠性。

Blind Linear Sign Decision Feedback Equalizer Based on Statistical Equalization Criterion

For greatly overcoming the carrier phase rotation resulting from multipath underwater acoustic channel and large mean square error (MSE) at convergent end of Linear Equalizer (LE) based on higher order statistics, statistical equalization criterion based blind Linear Sign Decision Feedback Equalizer (LSDFE) was proposed. In this proposed algorithm, the phase rotation can be compensated using higher order statistics, nonlinear transform of equalizer outputs, and decision feedback algorithm, the faster convergent speed can be obtained by introducing sign algorithm, and the MSE can be reduced via employing decision feedback equalization algorithm. The proposed algorithm outperforms blind Linear Equalizer (LE) based on statistical equalization criterion in reducing the MSE and compensating for the carrier phase rotation and blind Linear Decision Feedback Equalizer (LDFE) based on statistical equalization criterion in improving convergent speed. The validity is proved via computer simulation with multipath underwater acoustic channel.