The Monte Carlo method for adaptive IIR filter

被引:0
作者
Wang, Li-xin [1 ]
Wu, Tao [1 ]
Lin, Xiao-yan [1 ]
机构
[1] Hangzhou Dianzi Univ, Coll Commun Engn, Hangzhou 310018, Peoples R China
来源
INT CONF ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS AND APPLICATIONS/INT CONF ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL II | 2007年
关键词
adaptive filter; FIR and IIR structure; convergence; Monte Carlo; particles;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Adaptive filter is widely used in many cases, and usually formed in FIR structure. But in some situations, adaptive IIR filter has better performance than FIR. Such as, muti-path wireless channel can be presented as full zero-point model, and the difficulty will be encountered for equalization using adaptive FIR filter. However, the channel can be compensated with satisfy characteristics by using adaptive IIR filter. Unfortunately, the general IIR algorithm is difficult to perform filtering with robust and downright. This paper proposes a new approach for adaptive IIR filter based particle filter, the agility is demonstrated by applications in time-invariety and time-variety channels, and is suitable for extended application. The degeneracy phenomena will not occur in filtering. Simulation results indicated that the new method is feasible.
引用
收藏
页码:165 / 169
页数:5
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