Name
Abstract | ||
|---|---|---|
In this paper, we present a novel blind adaptive multiuser detector structure and three robust recursive filters to improve the performance in CDMA environments: Sigma point kalman filter (SPKF), particle filter (PF), and Gaussian mixture sigma point particle filter (GMSPPF). Our proposed robust recursive filters have superior performance over a conventional extended Kalman filter (EKF). The proposed multiuser detector algorithms initially use Kalman prediction form to estimated channel parameters, and unknown data symbol be predicted. Second, based on this predicted data symbol, the robust recursive filters (e.g., GMSPPF) is a refined estimation of joint multipaths and time delays. With these estimated multipaths and time delays, data symbol detection is carried out (Kalman correction form). Computer simulations show that the proposed algorithms outperform the conventional blind multiuser detector with the EKF. Also we can see it provides a more viable means for tracking time-varying amplitudes and time delays in CDMA communication systems, compared to that of the EKF for near-far ratio of 20 dB. For this reason, it is believed that the proposed channel estimators can replace well-known filter such as the EKF. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/JCN.2007.6182849 | Journal of Communications and Networks |
Keywords | Field | DocType |
Channel estimation,Estimation,Detectors,Proposals,Kalman filters,Multiaccess communication,Robustness | Extended Kalman filter,Linear filter,Control theory,Computer science,Infinite impulse response,Particle filter,Multiuser detection,Kalman filter,Invariant extended Kalman filter,Ensemble Kalman filter | Journal |
Volume | Issue | ISSN |
9 | 3 | 1229-2370 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jang-Sub Kim | 1 | 133 | 13.04 |
| Ho-jin Shin | 2 | 33 | 8.49 |
| Dong Ryeol Shin | 3 | 14 | 8.21 |