Name
Abstract | ||
|---|---|---|
This correspondence studies the received signal strength-based localization problem when the transmit power or path-loss exponent is unknown. The corresponding maximum-likelihood estimator (MLE) poses a difficult nonconvex optimization problem. To avoid the difficulty in solving the MLE, we use suitable approximations and formulate the localization problem as a general trust region subproblem, which can be solved exactly under mild conditions. Simulation results show a promising performance for the proposed methods, which also have reasonable complexities compared to existing approaches. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TSP.2013.2260330 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
trust region,localization,transmit power,power generation,maximum likelihood estimation,optimization problem,indexing terms,wireless sensor network,signal strength,signal processing,path loss | Signal processing,Trust region,Mathematical optimization,Transmitter power output,Communication channel,RSS,Optimization problem,Wireless sensor network,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
61 | 15 | 1053-587X |
Citations | PageRank | References |
19 | 0.75 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Reza Gholami | 1 | 218 | 17.14 |
| Reza Monir Vaghefi | 2 | 280 | 15.69 |
| Erik G. Ström | 3 | 1188 | 110.35 |