Name
Title | ||
|---|---|---|
Received signal strength-based joint parameter estimation algorithm for robust geolocation in LOS/NLOS environments |
Abstract | ||
|---|---|---|
We consider received-signal-strength-based robust geolocation in mixed line-of-sight/non-line-of-sight propagation environments. Herein, we assume a mode-dependent propagation model with unknown parameters. We propose to jointly estimate the geographical coordinates and propagation model parameters. In order to approximate the maximum-likelihood estimator (MLE), we develop an iterative algorithm based on the well-known expectation and maximization criterion. As compared to the standard ML implementation, the proposed algorithm is simpler to implement and capable of reproducing the MLE. Simulation results show that the proposed algorithm attains the best geolocation accuracy as the number of measurements increases. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638912 | ICASSP |
Keywords | Field | DocType |
propagation model parameters,expectation-maximisation algorithm,expectation-maximization estimation criterion,received signal strength-based joint parameter estimation algorithm,wireless geolocation,los-nlos environments,received-signal-strength (rss),mixed line-of-sight-nonline-of-sight propagation environments,maximum-likelihood estimator,mode-dependent propagation model,geolocation,wireless networks,expectation-maximization (em) criterion,radio networks,received-signal-strength-based robust geolocation,iterative algorithm,radiowave propagation,geographical coordinates,line-of-sight (los)/non-line-of-sight (nlos),iterative methods,mle,accuracy,maximum likelihood estimator,vectors,maximum likelihood estimation,geology | Non-line-of-sight propagation,Signal processing,Mathematical optimization,Standard ML,Iterative method,Computer science,Geographic coordinate system,Geolocation,Maximization,Estimator | Conference |
ISSN | Citations | PageRank |
1520-6149 | 2 | 0.36 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Yin | 1 | 2 | 1.38 |
| Carsten Fritsche | 2 | 157 | 14.72 |
| Fredrik Gustafsson | 3 | 2287 | 281.33 |
| Abdelhak M. Zoubir | 4 | 1036 | 148.03 |