Name
Abstract | ||
|---|---|---|
A frequency domain analysis is presented to optimize the Predictive Least Mean Square (PLMS) algorithm used for wireless channel
tracking. Simulation results show that the PLMS offers significant improvement in tracking performance compared to that of
the conventional LMS based method. The algorithm parameters should be carefully selected in order to gain such improvements.
The objective of this paper is to use frequency domain analysis to determine an expression for the Mean Square Tracking Error
(MSTE) and use it to obtain the optimum PLMS algorithm parameters such as step size (μ) and smoothing constant (θ) with numerical optimization methods. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11277-008-9535-9 | Wireless Personal Communications |
Keywords | Field | DocType |
Faded channel estimation,Least mean square,Predictive LMS | Frequency domain,Least mean squares filter,Telecommunications,Wireless,Computer science,Algorithm,Communication channel,Mean squared error,Real-time computing,Smoothing,Estimation theory,Tracking error | Journal |
Volume | Issue | ISSN |
48 | 4 | 0929-6212 |
Citations | PageRank | References |
3 | 0.43 | 4 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qassim Nasir | 1 | 58 | 20.68 |