Name
Title | ||
|---|---|---|
Distributed Incremental-Based Lms For Node-Specific Parameter Estimation Over Adaptive Networks |
Abstract | ||
|---|---|---|
We introduce an adaptive distributed technique that is suitable for node-specific parameter estimation in an adaptive network where each node is interested in a set of parameters of local interest as well as a set of network global parameters. The estimation of each set of parameters of local interest is undertaken by a local Least Mean Squares (LMS) algorithm at each node. At the same time and coupled with the previous local estimation processes, an incremental mode of cooperation is implemented at all nodes in order to perform an LMS algorithm which estimates the parameters of global interest. In the steady state, the new distributed technique converges to the MMSE solution of a centralized processor that is able to process all the observations. To illustrate the effectiveness of the proposed technique we provide simulation results in the context of cooperative spectrum sensing in cognitive radio networks. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638700 | 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
Adaptive distributed networks, incremental algorithm, cooperation, node-specific parameter estimation | Least mean squares filter,Mathematical optimization,Computer science,Estimation theory,Steady state,Recursive least squares filter,Cognitive radio,Radio spectrum management | Conference |
ISSN | Citations | PageRank |
1520-6149 | 18 | 0.75 |
References | Authors | |
15 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikola Bogdanovic | 1 | 78 | 5.67 |
| Jorge Plata-Chaves | 2 | 115 | 9.92 |
| Kostas Berberidis | 3 | 314 | 35.76 |