针对常数模算法(CMA)剩余误差大与收敛速度慢的问题,将变步长思想和正交小波变换引入到常数模盲均衡算法中,提出了基于正交小波变换的指数型变步长常数模盲均衡算法(WT-VCMA).水声信道仿真结果表明:与基于剩余误差的指数型变步长常数模盲均衡算法(VCMA)及常规常数模算法(CMA)相比,新算法具有更快的收敛速度和更小的剩余误差.%Aiming at the slow convergence rates and the big residua error of Constant Modulus Algorithm (CMA), a new orthogonal Wavelet Transform based Variable step-size Constant Modulus blind equalization Algorithm (WT-VCMA) is proposed. In the proposed algorithm, the variable step-size ideas and the orthogonal wavelet transform are introduced into the WT-VCMA. Simulation results with underwater acoustic channel indicate that the proposed algorithm has not only the faster convergence rates but also the less residua error which compared with those of CMA and VCMA.
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