The Precompression Processing of LMS Algorithm in Noise Elimination
In this study, the authors propose a novel precompression processing (PCP) of the least mean squares (LMS) algorithm based on a regulator factor. The novelty of the PCP algorithm is that the compressed input signals vary from each other on different components at each iteration. The input signal of...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2019/2131040 |
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| author | Pengfei Lin Chunsheng Lin Ning Zhang Xingya wu |
| author_facet | Pengfei Lin Chunsheng Lin Ning Zhang Xingya wu |
| author_sort | Pengfei Lin |
| collection | DOAJ |
| description | In this study, the authors propose a novel precompression processing (PCP) of the least mean squares (LMS) algorithm based on a regulator factor. The novelty of the PCP algorithm is that the compressed input signals vary from each other on different components at each iteration. The input signal of the improved LMS algorithm is precompressed based on the regulator factor. The precompressed input signal is not only related to the regulator factor α and the current value of the input signal at each iteration but also related to the amplitude of the input signal before this iteration. The improved algorithm can eliminate the influence of input signal mutation on the filter performance. In the numerical simulations, we compare the improved LMS algorithm and NLMS algorithm in the cases of normal input signal and input signal with mutation and the influence of different regulator factors on the noise elimination. Results show that the PCP algorithm has good noise elimination effect when the input signal changes abruptly and the regulator factor α = 0.01 can meet the requirements. |
| format | Article |
| id | doaj-art-f0362c226c2d41ce93d8444d9bd50d64 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-f0362c226c2d41ce93d8444d9bd50d642025-02-03T01:11:29ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772019-01-01201910.1155/2019/21310402131040The Precompression Processing of LMS Algorithm in Noise EliminationPengfei Lin0Chunsheng Lin1Ning Zhang2Xingya wu3College of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, ChinaCollege of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, ChinaCollege of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, China91278 Unit, Lvshunkou in DaLian 116000, ChinaIn this study, the authors propose a novel precompression processing (PCP) of the least mean squares (LMS) algorithm based on a regulator factor. The novelty of the PCP algorithm is that the compressed input signals vary from each other on different components at each iteration. The input signal of the improved LMS algorithm is precompressed based on the regulator factor. The precompressed input signal is not only related to the regulator factor α and the current value of the input signal at each iteration but also related to the amplitude of the input signal before this iteration. The improved algorithm can eliminate the influence of input signal mutation on the filter performance. In the numerical simulations, we compare the improved LMS algorithm and NLMS algorithm in the cases of normal input signal and input signal with mutation and the influence of different regulator factors on the noise elimination. Results show that the PCP algorithm has good noise elimination effect when the input signal changes abruptly and the regulator factor α = 0.01 can meet the requirements.http://dx.doi.org/10.1155/2019/2131040 |
| spellingShingle | Pengfei Lin Chunsheng Lin Ning Zhang Xingya wu The Precompression Processing of LMS Algorithm in Noise Elimination International Journal of Antennas and Propagation |
| title | The Precompression Processing of LMS Algorithm in Noise Elimination |
| title_full | The Precompression Processing of LMS Algorithm in Noise Elimination |
| title_fullStr | The Precompression Processing of LMS Algorithm in Noise Elimination |
| title_full_unstemmed | The Precompression Processing of LMS Algorithm in Noise Elimination |
| title_short | The Precompression Processing of LMS Algorithm in Noise Elimination |
| title_sort | precompression processing of lms algorithm in noise elimination |
| url | http://dx.doi.org/10.1155/2019/2131040 |
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