FXLOGRLP: THE FILTERED-X LOGARITHMIC RECURSIVE LEAST P-POWER ALGORITHM

被引：1
|
作者：
Zheng, Zongsheng [1 ]
Lu, Lu [2 ]
Yu, Yi [3 ]
de Lamare, Rodrigo C. [4 ,5 ]
Liu, Zhigang [6 ]
机构：
[1] Sichuan Univ, Coll Elect Engn, Chengdu 610065, Peoples R China
[2] Sichuan Univ, Sch Elect & Informat Engn, Chengdu 610065, Peoples R China
[3] Southwest Univ Sci & Technol, Sch Informat Engn, Robot Technol Used Special Environm Key Lab Sichu, Mianyang 621010, Sichuan, Peoples R China
[4] Pontificia Univ Catolica Rio de Janeiro, CETUC, BR-22451900 Rio de Janeiro, Brazil
[5] Univ York, Dept Elect Engn, York YO10 5DD, N Yorkshire, England
[6] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
来源：
2021 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) | 2021年
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Active impulsive noise control; filtered-x recursive least p-power (FxRLP); filtered-x logarithmic recursive least p-power (FxlogRLP); impulsive noise; ACTIVE NOISE-CONTROL; PERFORMANCE; DESIGN;
D O I：
10.1109/SSP49050.2021.9513827
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
For active impulsive noise control, a filtered-x recursive least p-power (FxRLP) algorithm is proposed by minimizing the weighted summation of the p-power of the a posteriori errors. Since the characteristic of the target noise is investigated, the FxRLP algorithm achieves good performance and robustness. To obtain a better performance, we develop a filtered-x logarithmic recursive least p-power (FxlogRLP) algorithm which integrates the p-order moment with the logarithmic-order moment. Simulation results demonstrate that the FxlogRLP algorithm is superior to the existing algorithms in terms of convergence rate and noise reduction.
引用
收藏
页码：16 / 20
页数：5
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