Soǧancı, HamzaGezici, SinanArıkan, Orhan2016-02-082016-02-082009http://hdl.handle.net/11693/28612Date of Conference: 9-11 September 2009Conference Name: 2009 IEEE International Conference on Ultra-Wideband, ICUWB 2009In this paper, theoretical limits on estimation of respiration rates via pulse-based ultra-wideband (UWB) signals are studied in the presence of prior information about respiration related signal parameters. First, a generalized Cramer-Rao lower bound (G-CRLB) expression is derived, and then simplified versions of the bound are obtained for sinusoidal displacement functions. In addition to the derivation of the theoretical limits, a two-step suboptimal estimator based on matched filter (correlation) processing and maximum a posteriori probability (MAP) estimation is proposed. It is shown that the proposed estimator performs very closely to the theoretical limits under certain conditions. Simulation results are presented to investigate the theoretical results.EnglishGeneralized Cramer-Rao lower bound (G-CRLB)Maximum a posteriori probability (MAP) estimationUltra-wideband (UWB)Bayesian approachesCramer Rao lower boundDisplacement functionMatched filtersPrior informationRespiration rateSignal parametersSimulation resultTheoretical limitsTheoretical resultUltra-wideband signalBayesian networksWireless telecommunication systemsConference Paper10.1109/ICUWB.2009.5288766