Set-Membership Affine Projection-Like Algorithm with Evolving Order

被引：3
|
作者：
Avalos, J. G. [1 ]
Mendoza, J. [1 ]
Serrano, F. A. [1 ]
Avalos, G. [1 ]
机构：
[1] Inst Politecno Nacl ESIME Culhuacan, Ciudad De Mexico, Mexico
来源：
IEEE LATIN AMERICA TRANSACTIONS | 2018年 / 16卷 / 03期
关键词：
Adaptive Filters; Set Membership Filtering; Affine Projections; Affine Projection-Like; VARIABLE STEP-SIZE; VECTORS; NOISE;
D O I：
10.1109/TLA.2018.8358654
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we apply the framework of setmembership filtering (SM) to the Affine Projection-Like algorithm (APL), aiming to decreasing the update rates and the computational complexity. In addition, we propose an evolutionary method that adjust the projection order in each iteration. The resulting algorithm is the Set-Membership Affine Projection-Like algorithm with evolving order. The proposed algorithm retains the convergence speed and final misadjustment of the APL, furthermore, as demonstrated by simulation results, the number of updates and processing time can be reduced almost 80% and 50% respectively, in system-identification and acoustic echo cancellation applications, thus achieving meaningful computational savings.
引用
收藏
页码：770 / 776
页数：7
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