Novel blind identification and equalization new method based on particle filter
Based on particle filter theory,a new novel blind identification and equalization algorithm was proposed sam-pling of the posterior probability distribution was avoided by sampling the expectation instead of actual values of the channel,so as to reduce the complexity of algorithm.In addition,the imp...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2006-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74659543/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850090129975148544 |
|---|---|
| author | WANG Lei LIU Yu-lin |
| author_facet | WANG Lei LIU Yu-lin |
| author_sort | WANG Lei |
| collection | DOAJ |
| description | Based on particle filter theory,a new novel blind identification and equalization algorithm was proposed sam-pling of the posterior probability distribution was avoided by sampling the expectation instead of actual values of the channel,so as to reduce the complexity of algorithm.In addition,the importance sampling process could be simplified greatly by choosing the prior density as the importance function.Simulation results show that the algorithm has fast conver-gence performance and be effective even under the circumstances of very low signal-to-noise ratio and less observation data. |
| format | Article |
| id | doaj-art-378b1fbed18a4df68a2c4d812f27b306 |
| institution | DOAJ |
| issn | 1000-436X |
| language | zho |
| publishDate | 2006-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-378b1fbed18a4df68a2c4d812f27b3062025-08-20T02:42:38ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-0113213574659543Novel blind identification and equalization new method based on particle filterWANG LeiLIU Yu-linBased on particle filter theory,a new novel blind identification and equalization algorithm was proposed sam-pling of the posterior probability distribution was avoided by sampling the expectation instead of actual values of the channel,so as to reduce the complexity of algorithm.In addition,the importance sampling process could be simplified greatly by choosing the prior density as the importance function.Simulation results show that the algorithm has fast conver-gence performance and be effective even under the circumstances of very low signal-to-noise ratio and less observation data.http://www.joconline.com.cn/zh/article/74659543/blind identificationblind equalizationparticle filterimportance sampling |
| spellingShingle | WANG Lei LIU Yu-lin Novel blind identification and equalization new method based on particle filter Tongxin xuebao blind identification blind equalization particle filter importance sampling |
| title | Novel blind identification and equalization new method based on particle filter |
| title_full | Novel blind identification and equalization new method based on particle filter |
| title_fullStr | Novel blind identification and equalization new method based on particle filter |
| title_full_unstemmed | Novel blind identification and equalization new method based on particle filter |
| title_short | Novel blind identification and equalization new method based on particle filter |
| title_sort | novel blind identification and equalization new method based on particle filter |
| topic | blind identification blind equalization particle filter importance sampling |
| url | http://www.joconline.com.cn/zh/article/74659543/ |
| work_keys_str_mv | AT wanglei novelblindidentificationandequalizationnewmethodbasedonparticlefilter AT liuyulin novelblindidentificationandequalizationnewmethodbasedonparticlefilter |