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Cramer Rao lower bound for multi-source localization in spatial correlated environment
| Content Provider | Semantic Scholar |
|---|---|
| Author | Arvanitakis, George |
| Copyright Year | 2015 |
| Abstract | This extended abstract paper provides the modeling approach and some indicative results on the expected performance of received power-based multiple source localization in spatially-correlated log-normal propagation environment. By proper modeling approximation of the received signal strength we are able to evaluate the Crammer-Rao Lower Bound (CRLB) given the positions of the sources and sensors. Probabilistic models are used for both the sensor network as well as the multiple sources and a semi-analytic approach is taken to compute the average performance lower bound. The results are indicative on the expected localization accuracy in a multi-source localization scenario, when the correlation of the propagation environment is exploited. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.eurecom.fr/en/publication/4514/download/cm-publi-4514.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
