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出 处:《安徽理工大学学报(自然科学版)》2010年第2期60-63,共4页Journal of Anhui University of Science and Technology:Natural Science
基 金:全国博士论文作者专项基金资助项目(200753);安徽省高等学校自然科学基金资助项目(KJB2010A096)
摘 要:提出了一种基于正交小波变换的变步长盲均衡算法。该算法将正交小波变换理论引入到常数模盲均衡算法中,充分利用小波变换对信号的去相关性及指数型变步长控制迭代过程的特性来加快收敛速度。与常数模算法及基于正交小波变换的盲均衡算法相比,该算法收敛速度快、稳态误差小、均衡效果好。水声信道盲均衡的仿真结果,验证了其的性能。Blind equalization algorithm(VWT-CMA) based on variable step-size and orthogonal wavelet transform was proposed.The algorithm introduced wavelet transform theory into constant modulus blind equalization algorithm.As for the proposed VWT-CMA,its convergent rate can be improved by full use of de-correlation ability of wavelet transform and controlling feature of variable step-size and its mean square error(MSE) can be reduced by employing variable step-size.Accordingly,the proposed VWT-CMA algorithm has faster convergence and smaller MSE than constant modulus algorithm(CMA) or blind equalization algorithm(WTCMA) based on orthogonal wavelet transform.The efficiency of the proposed VWTCMA algorithm was proved by computer simulation with two-path underwater acoustic channels.
分 类 号:TN911.72[电子电信—通信与信息系统]
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