Semiblind estimation of MIMO time－varying channels based on sequential importance resampling algorithm
Particle filtering can be used to handle the non－liner and non－Gaussian problems,while the sequential importance resampling (SIR) algorithm can be better to solve the degeneracy phenomenon in particle filtering and be applied in the semiblind estimation of MIMO time－varying channels.Simulation resul...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academic Journals Center of Shanghai Normal University
2013-02-01
|
| Series: | Journal of Shanghai Normal University (Natural Sciences) |
| Subjects: | |
| Online Access: | http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/create_pdf.aspx?file_no=201301003&year_id=2013&quarter_id=1&falg=1 |
| Summary: | Particle filtering can be used to handle the non－liner and non－Gaussian problems,while the sequential importance resampling (SIR) algorithm can be better to solve the degeneracy phenomenon in particle filtering and be applied in the semiblind estimation of MIMO time－varying channels.Simulation results show that compared to traditional particle filtering method,the MIMO time－varying channel semiblind estimation method based on the sequential importance resampling algorithm reduces the Mean square error and Symbol error rate,consequently improves the symbol detection performance at the receiver side. |
|---|---|
| ISSN: | 1000-5137 1000-5137 |