Name
Abstract | ||
|---|---|---|
We propose a novel distributed generalized expectation maximization (EM) method for non-cooperative target localization using a wireless sensor network. We consider the scenario where few or no sensors receive line-of-sight signals from the target. Each sensor is able to measure the time difference of arrival of the target's signal with respect to a reference node, as well as the angle of arrival of the target's signal. We show that our distributed algorithm converges, and simulation results suggest that our method achieves an accuracy close to the centralized EM algorithm. We apply the distributed EM algorithm to a set of experimental measurements, which confirm that the algorithm is able to localize a RF target in a realistic non-line-of-sight scenario. |
Year | Venue | Keywords |
|---|---|---|
2014 | Fusion | non-line-of-sight scenario,distributed localization,expectation-maximisation algorithm,em method,wireless sensor network,noncooperative target localization,centralized em algorithm,line-of-sight signals,target localization,object detection,nlos environments,expectation maximization,decentralized algorithm,wireless sensor networks,noncooperative rf target,distributed generalized expectation maximization method,sensor placement,sensor fusion,simulation,noise measurement,noise |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenjie Xu | 1 | 0 | 0.34 |
| François Quitin | 2 | 145 | 9.25 |
| Mei Leng | 3 | 223 | 13.44 |
| Wee Peng Tay | 4 | 561 | 52.82 |
| Sirajudeen Gulam Razul | 5 | 96 | 14.41 |