Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel
A semi-blind channel estimation method based on the particle filtering was proposed for the MIMO-OFDM wireless communication system.By optimizing the particles distribution locally,the traditional particle filtering algorithm was modified,and a local optimized particle filtering was proposed.This lo...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2007-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74658673/ |
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| _version_ | 1841537447686569984 |
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| author | JING Yuan YIN Fu-liang ZENG Shuo |
| author_facet | JING Yuan YIN Fu-liang ZENG Shuo |
| author_sort | JING Yuan |
| collection | DOAJ |
| description | A semi-blind channel estimation method based on the particle filtering was proposed for the MIMO-OFDM wireless communication system.By optimizing the particles distribution locally,the traditional particle filtering algorithm was modified,and a local optimized particle filtering was proposed.This local optimized particle filtering can achieve the low MSE,and improve the precision of the MIMO-OFDM time-varying channel estimation.Since this method was per-formed in frequency domain,it was not necessary to know（or estimate） the length of the channel.Compared with exist-ing approaches,the proposed method was more robust to the non-gauss distribution noise and the detection performance is nearly optimal.The simulation results show the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-52ea023d720f47e4bb4606d6e35daa9c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2007-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-52ea023d720f47e4bb4606d6e35daa9c2025-01-14T08:34:42ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2007-01-01677574658673Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channelJING YuanYIN Fu-liangZENG ShuoA semi-blind channel estimation method based on the particle filtering was proposed for the MIMO-OFDM wireless communication system.By optimizing the particles distribution locally,the traditional particle filtering algorithm was modified,and a local optimized particle filtering was proposed.This local optimized particle filtering can achieve the low MSE,and improve the precision of the MIMO-OFDM time-varying channel estimation.Since this method was per-formed in frequency domain,it was not necessary to know（or estimate） the length of the channel.Compared with exist-ing approaches,the proposed method was more robust to the non-gauss distribution noise and the detection performance is nearly optimal.The simulation results show the effectiveness of the proposed method.http://www.joconline.com.cn/zh/article/74658673/MIMO-OFDMtime-varying channel estimationparticle filteringsequential Monte Carlo |
| spellingShingle | JING Yuan YIN Fu-liang ZENG Shuo Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel Tongxin xuebao MIMO-OFDM time-varying channel estimation particle filtering sequential Monte Carlo |
| title | Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel |
| title_full | Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel |
| title_fullStr | Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel |
| title_full_unstemmed | Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel |
| title_short | Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel |
| title_sort | particle filtering based semi blind estimation for mimo ofdm time varying channel |
| topic | MIMO-OFDM time-varying channel estimation particle filtering sequential Monte Carlo |
| url | http://www.joconline.com.cn/zh/article/74658673/ |
| work_keys_str_mv | AT jingyuan particlefilteringbasedsemiblindestimationformimoofdmtimevaryingchannel AT yinfuliang particlefilteringbasedsemiblindestimationformimoofdmtimevaryingchannel AT zengshuo particlefilteringbasedsemiblindestimationformimoofdmtimevaryingchannel |