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引入符号算法可以提高CMA算法的收敛速度。对比研究了三种符号常数模算法(SR-CMA、SE-CMA、SS-CMA)与CMA算法在水声信道均衡中的收敛性能。水声信道仿真结果表明,SR-CMA算法、SE-CMA算法、SS-CMA算法的收敛速度快于CMA算法,SR-CMA算法的稳定性与CMA算法接近,其整体性能是三种符号常数模算法中最佳的,SS-CMA算法的计算量最小但其整体性能不佳,SE-CMA算法的整体性能比SR-CMA算法差,略优于SS-CMA算法。
The introduction of symbolic algorithm can improve the convergence rate of CMA algorithm. The convergence performance of three symbolic constant modulus algorithms (SR-CMA, SE-CMA, SS-CMA) and CMA algorithm in underwater acoustic channel equalization is compared. Acoustic channel simulation results show that the convergence speed of SR-CMA, SE-CMA and SS-CMA is faster than that of CMA, and the stability of SR-CMA is close to that of CMA. The best of the modular algorithms, the SS-CMA algorithm has the least amount of computation but the overall performance is poor. The overall performance of the SE-CMA algorithm is worse than that of the SR-CMA algorithm, slightly better than the SS-CMA algorithm.