Name
Abstract | ||
|---|---|---|
Recently, the marginalized particle filter (MPF) has been applied to blind symbol detection problems over selective fading channels. The MPF can case the computational burden of the standard particle filter (PF) while offering better estimates compared with the standard PF In this paper, we investigate the application of the blind MPF detector to more realistic situations where the systems suffer from analog imperfections which are non-linear signal distortion due to the inaccurate analog circuits in wireless devices. By reformulating the system model using the widely linear representation and employing the auxiliary variable resampling (AVR) technique for estimation of the imperfections. the blind MPF detector is successfully modified to cope with the analog imperfections. The effectiveness of the proposed MPF detector is demonstrated via computer simulations. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1587/transcom.E93.B.336 | IEICE TRANSACTIONS ON COMMUNICATIONS |
Keywords | Field | DocType |
particle filter, blind signal detection, IQ imbalance, CFO | Telecommunications,Analogue electronics,Wireless,Detection theory,Computer science,Fading,Particle filter,Communication channel,Electronic engineering,Distortion,Detector,Distributed computing | Journal |
Volume | Issue | ISSN |
E93B | 2 | 0916-8516 |
Citations | PageRank | References |
1 | 0.40 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuki Yoshida | 1 | 4 | 1.63 |
| Kazunori Hayashi | 2 | 230 | 28.52 |
| Hideaki Sakai | 3 | 262 | 77.04 |
| Wladimir Bocquet | 4 | 33 | 3.23 |