变步长似p范数约束稀疏水声信道估计方法

针对范数约束类归一化最小均方(NLMS)算法在正交频分复用(OFDM)稀疏水声信道估计中误码率较高的问题,提出一种改进的变步长似p范数约束信道估计方法.采用改进双Logistic函数构造步长,并将误差信号自相关函数引入其中,实时调整步长和零吸引项,使得收敛速度和估计精度能够很好地折中.算法仿真结果表明,在浅海多径稀疏水...

Variable step size p-norm-like constraint sparse underwater acoustic channels estimation method

Aiming at the high Bit Error Ratio(BER) of the class of norm constraint Normalized Least Mean Square(NLMS) algorithm in sparse channel estimation of Orthogonal Frequency Division Multiplexing(OFDM) underwater acoustic communications,a variable step size p-norm-like constraint channel estimation method is proposed.The method is based on the improved double Logistic function.Furthermore,it introduces the error signal autocorrelation function,thereby the step size and zero-attracting term are adjusted dynamically.Therefore,the convergence speed and estimation accuracy can be well compromised.Numerical simulation results show that the maximum performance improvement of the proposed channel estimation method is 72.3% faster convergence rate and 95.9% lower steady-state error in comparison to conventional ones.Compare to other channel estimation methods in the same category,the data processing results of the lake experiment demonstrate that the BER decreases by 2~3 orders of magnitude under the shallow sea multipath sparse underwater acoustic channel,achieve zero-error underwater acoustic communication.