Name
Title | ||
|---|---|---|
Recursive estimation and identification of wireless ad hoc channels from measurements |
Abstract | ||
|---|---|---|
This paper is concerned with a time varying wireless ad hoc channel modeling, its parameter estimation and system identification from received signal measurement data. The channel model is represented in state space form, while the expectation maximization algorithm and Kalman filtering are used in the channel parameter and state estimation, respectively. The proposed algorithm is recursive, and therefore the inphase and quadrature components of the ad hoc channel and its parameters are estimated online from received signal measurements. The proposed algorithm is tested using measurement data collected from moving wireless sensor nodes, and the results are presented. |
Year | Venue | Keywords |
|---|---|---|
2007 | WICON | kalman filter,parameter estimation,data collection,expectation maximization algorithm,system identification,state space,state space representation |
Field | DocType | Citations |
Mathematical optimization,Wireless,Expectation–maximization algorithm,Computer science,State-space representation,Algorithm,Communication channel,Kalman filter,Estimation theory,Wireless ad hoc network,System identification,Distributed computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammed M. Olama | 1 | 53 | 12.03 |
| Yanan Li | 2 | 2 | 0.74 |
| Seddik M. Djouadi | 3 | 216 | 42.08 |
| T. Goodspeed | 4 | 0 | 0.34 |
| Phani Teja Kuruganti | 5 | 22 | 4.33 |