计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (34): 149-151.
• 数据库、信号与信息处理 • 上一篇 下一篇
谢逢博
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XIE Fengbo
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摘要： 提出了一种基于QAM信号的新的混合自适应盲均衡算法。结合了MCMA算法以及AMA算法的优点，通过设置自适应遗忘因子λ，用来自适应加权两类独立代价函数，一类是MCMA的代价函数，另一类是AMA的代价函数。通过搭建QAM盲均衡系统平台，仿真结果表明，提出的算法相比于CMA、MCMA和CMA/AMA算法，有效地降低了稳态误差和误码率，并具有良好的收敛速度，大大提高了系统的性能。
关键词: 盲均衡, 恒模算法（CMA）, 修正恒模算法（MCMA）, 字符匹配算法（AMA）, QAM信号
Abstract: This paper proposes a novel hybrid adaptive blind equalization algorithm for QAM signal.The proposed algorithm combines the advantages of Modified CMA（MCMA） and the Alphabet-Matched Algorithm（AMA），based on setting adaptive forgetting factor[λ]，the cost function is adaptively weighted sum of two separate well-defined cost functions;one is identical to the MCMA case，and the other corresponds to the AMA case.The novel algorithm is proposed and studied，and compared with other three CMA algorithm based on a blind equalization of QAM system.The simulation results show that the proposed algorithm effectively reduces the steady-state error and symbol error rate，and has better convergence rate，which greatly improves the performance of the system.
Key words: blind equalization, Constant Modulus Algorithm（CMA）, Modified CMA（MCMA）, Alphabet-Matched Algorithm（AMA）, QAM signal
谢逢博. 一种新的混合自适应盲均衡器[J]. 计算机工程与应用, 2011, 47(34): 149-151.
XIE Fengbo. Novel hybrid adaptive blind equalizer[J]. Computer Engineering and Applications, 2011, 47(34): 149-151.
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http://cea.ceaj.org/CN/Y2011/V47/I34/149
