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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tian, Hongbo Yin, Qinye Meng, Yinkuo |
| Copyright Year | 2010 |
| Abstract | The particle filtering which is based on Bayesian estimation and Monte Carlo method shows great promise in addressing a wide variety of non-linear and /or non-Gaussian problem. A crucial issue in particle filtering is the computation complexity in symbol detection. In this paper, aimed at achieving satisfactory performance at the price of a moderate computational complexity, a fast particle filtering symbol detector(FPFSD) for Bell Laboratories Layered Space-Time (BLAST) is introduced. A nonlinear transform is applied to the posterior distributions and this operation is tantamount to substituting the exhaust samples with a series of sample procedures from hyperspheres of appointed radius. Then, according to the maximum principle, several elements are selected at the previous interval and are appended them to the sample subcollection at the next. Finally, the performance assessment shows that the performance of the proposed algorithm is close to the optimal maximum likelihood (ML), while maintains comparable lower computation complexity. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 151704 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424463961 |
| ISSN | 15253511 |
| e-ISBN | 9781424463985 |
| DOI | 10.1109/WCNC.2010.5506560 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-18 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Complexity theory Detectors Receivers Signal processing algorithms Wireless communication Bayesian methods MIMO |
| Content Type | Text |
| Resource Type | Article |
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