Cramér-Rao lower bound for breakpoint distance estimation in a path-loss model
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
This paper addresses the problem of determining the Cramér-Rao lower bound (CRLB) for the parameters and breakpoint distance in a Path-Loss Channel model for Received Signal Strength (RSS) measurements. The path loss model is usually assumed for corrupted RSS measurements due to the shadow fading channel feature. In this paper the two-slope path loss model is considered, in which RSS measurements are modeled differently for close and far distances. Closed-form expressions for the CRLB parameters are derived for unknown breakpoint distance. For unknown parameters and breakpoint distance value, a Bayesian estimation method is proposed. The CRLB is then compared with the performance of the herein proposed method. The comparison illustrates convergence and efficiency of the Bayesian estimator.
CitationCastro, J.; Closas, P.; Fernandez, J. Cramér-Rao lower bound for breakpoint distance estimation in a path-loss model. A: IEEE International Conference on Communications. "2014 IEEE International Conference on Communications (ICC) took place 10-14 June 2014 in Sydney, Australia". Sydney: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 176-180.
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