一种混合常数模水声信道盲均衡新算法的研究
Blind equalization of underwater acoustic channel using a kind of combined constant modulus algorithm
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摘要: 针对常数模算法(CMA)与符号误差常数模算法(SECMA)的不足,本文提出了一种新的混合常数模算法(CCMA),并将该算法应用于水声信道的盲均衡。通过判决条件对输出信号作判决,使得该算法的迭代过程在CMA和SECMA之间自动切换,其性能较SECMA稳健,运算量小于CMA,特别有利于水声信息的实时恢复。通过多种水声信道盲均衡算法的仿真实验,进一步验证了该算法的有效性。Abstract: A kind of Combined Constant Modulus Algorithm (CCMA) is presented to compensate the defects of the Constant Modulus Algorithm (CMA) and the Sign Error CMA (SECMA). And CCMA is applied to the equalization of the Underwater Acoustic Channel (UWAC). Based on the decision of the equalizer's output, its iteration process switches between CMA and SECMA automatically. It is more robust than SECMA, and more computationally efficient than CMA. Therefore, it is very suitable for the recovery of the underwater data transmission. The performance of CCMA is proven by computer simulation for the equalization of the UWAC.