Name
Abstract | ||
|---|---|---|
Determining the location of wireless devices is vital in many applications. However, global navigation satellite system technologies require a dedicated hardware module installed in the device, imposing additional power and cost constraints. This letter presents a framework to passively localize ground wireless devices by a constellation of satellites using only the signal strength and Doppler measurements. We derive the likelihood of the measurements and then compare two methods: first by applying a stochastic optimizer, namely simulated annealing, and second using Markov Chain Monte Carlo (MCMC) algorithm to draw a sample distribution of the estimated location and the device Equivalent Isotropic Radiated Power (EIRP). Simulation results under realistic Internet-of-things scenarios show that reliable IoT device localization can be achieved using several satellites. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LWC.2022.3187065 | IEEE Wireless Communications Letters |
Keywords | DocType | Volume |
Localization,satellite,Internet-or-Things,RSS,doppler,MCMC,stochastic optimizer | Journal | 11 |
Issue | ISSN | Citations |
9 | 2162-2337 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iza S. Mohamad Hashim | 1 | 0 | 0.68 |
| Akram Al-Hourani | 2 | 4 | 1.78 |
| Branko Ristic | 3 | 0 | 1.35 |