摘要
在研究了多种广泛使用的盲均衡算法的基础上,设计了一种对多种算法加权融合的新算法:当均衡器的输出信号可靠性足够高时,用可获得高收敛精度的多模辅助算法(MAMA)进行均衡;当均衡器的输出信号可靠性不够高时,用修正的常模算法(MCMA)、多模算法(MMA)和MAMA三种算法的加权融合来均衡,且控制权重,使权重随迭代次数变化,提高了算法性能.仿真结果证明,新算法性能稳定,在恶劣的水声信道中,可以在大约2 800次迭代后收敛,达到-35 dB左右的码间干扰(ISI).
On the study of several commonly used algorithms,a new weighted fusion of multi-mode blind algorithm is proposed： when the output signal of the equalizer is reliable,MMA-assisted modulus algorithm（MAMA） is used,otherwise modified constant modulus algorithm（MCMA）,multi-modulus algorithm（MMA） and MAMA are weighted and merged together.On the other hand,by controlling the weight of each algorithm and making it in direct proportion to the iteration number,the performance is evidently improves.Simulation proves that the new algorithm is stable, and could reach inter symbol interference （ISI） of - 35 dB after about 2 800 iterations in the underwater environment.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2009年第5期41-46,共6页
Journal of Beijing University of Posts and Telecommunications
关键词
修正的常模算法
多模算法
多模辅助算法
加权融合
modified constant modulus algorithm
multi-modulus algorithm
MMA-assisted modulus algorithm
weighted fusion algorithm
