Name
Abstract | ||
|---|---|---|
In wireless communications, a joint channel coefficient and time-delay tracking technique are a critical issue. Due to the highly nonlinear nature of time delay estimation, particle filter (PF) and sigma point particle filter (SPPF) can be employed. The SPPF algorithm consists of a particle filter that uses a sigma point Kalman filter (SPKF) to generate the important proposal distribution. The SPKF allows the particle filter to incorporate the latest observations into a prior updating routine. In addition, the SPKF generates proposal distributions that match the true posterior more closely. We propose an SPPF based on algorithm for the estimation of closely-spaced path delays and related channel coefficients in CDMA environments. We show that the parameter estimation using this filter structure is very effective even in the non-orthogonality of spreading codes and under imperfect power control in the CDMA environments. The simulation results show that this filter outperforms the PF including conventional Kalman filters. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICIS.2005.92 | ACIS-ICIS |
Keywords | Field | DocType |
joint channel coefficient,parameters estimation,kalman filters,power control,closely-spaced path delay,sigma point particle filter,conventional kalman filter,cdma,sigma point kalman filter,parameter estimation,importance proposal distribution,sppf algorithm,particle filter,wireless communication,multiuser cdma parameters estimation,code division multiple access,cdma environment,time delay estimation,filter structure,delay estimation,time-delay tracking,particle filters,distributed computing,kalman filter | Extended Kalman filter,Alpha beta filter,Root-raised-cosine filter,Fast Kalman filter,Computer science,Algorithm,Adaptive filter,Ensemble Kalman filter,Invariant extended Kalman filter,Filter design | Conference |
ISBN | Citations | PageRank |
0-7695-2296-3 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jang-Sub Kim | 1 | 133 | 13.04 |
| Ho-jin Shin | 2 | 33 | 8.49 |
| Dong-Ryeol Shin | 3 | 124 | 27.03 |