Name
Title | ||
|---|---|---|
Multiuser Channel Estimation Using Gaussian Mixture Sigma Point Particle Filter For Cdma System |
Abstract | ||
|---|---|---|
In this paper, a multiuser receiver based on. a Gaussian Mixture Sigma Point Particle Filter (GMSPPF), which can be used for joint channel coefficient estimation and time delay tracking in CDMA communication systems, is introduced. The proposed algorithm has better improved estimation performance than either Extended Kalman Filter (EKF) or Particle Filter (PF). The Cramer-Rao Lower Bound (CRLB) is derived for the estimator, and the simulation result demonstrates that it is almost completely near-far resistant. For this reason, it is believed that the proposed estimator can replace well-known filters such as the EKF or PF. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1093/ietcom/e89-b.11.3148 | IEICE TRANSACTIONS ON COMMUNICATIONS |
Keywords | Field | DocType |
code division multiple access, channel and-time delay estimation, nonlinear recursive filter | Extended Kalman filter,Computer science,Particle filter,Infinite impulse response,Algorithm,Gaussian process,Estimation theory,Ensemble Kalman filter,Invariant extended Kalman filter,Statistics,Estimator,Distributed computing | Journal |
Volume | Issue | ISSN |
E89B | 11 | 0916-8516 |
Citations | PageRank | References |
0 | 0.34 | 0 |
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 |