Graduate School and Research Center in Digital Sciences

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.

Document Bibtex

Title:Cramer Rao lower bound for multi-source localization in spatial correlated environment
Keywords:Receive signal strength; Multi-Source; localization; log-normal; spatial correlation, Cramer-Rao Lower Bound
Department:Communication systems
Eurecom ref:4514
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Bibtex: @inproceedings{EURECOM+4514, year = {2015}, title = {{C}ramer {R}ao lower bound for multi-source localization in spatial correlated environment}, author = {{A}rvanitakis, {G}eorge and {D}agres, {I}oannis and {K}altenberger, {F}lorian and {P}olydoros, {A}ndreas and }, booktitle = {{EUCNC} 2015, {E}uropean {C}onference on {N}etworks and {C}ommunications, {J}une 29-{J}uly 2, 2015, {P}aris, {F}rance}, address = {{P}aris, {FRANCE}}, month = {06}, url = {} }
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