Cramer Rao lower bound for multi-source localization in spatial correlated environment

Arvanitakis, George; Dagres, Ioannis;Kaltenberger, Florian; Polydoros, Andreas;
EUCNC 2015, European Conference on Networks and Communications, June 29-July 2, 2015, Paris, France

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.

Type:
Conference
City:
Paris
Date:
2015-06-29
Department:
Communication systems
Eurecom Ref:
4514
Copyright:
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PERMALINK : https://www.eurecom.fr/publication/4514