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      • Department of Electrical and Electronics Engineering
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      A Bayesian approach to respiration rate estimation via pulse-based ultra-wideband signals

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      Author
      Soǧancı, Hamza
      Gezici, Sinan
      Arıkan, Orhan
      Date
      2009
      Source Title
      Proceedings of the 2009 IEEE International Conference on Ultra-Wideband, ICUWB 2009
      Publisher
      IEEE
      Pages
      630 - 634
      Language
      English
      Type
      Conference Paper
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      Abstract
      In 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.
      Keywords
      Generalized Cramer-Rao lower bound (G-CRLB)
      Maximum a posteriori probability (MAP) estimation
      Ultra-wideband (UWB)
      Bayesian approaches
      Cramer Rao lower bound
      Displacement function
      Matched filters
      Prior information
      Respiration rate
      Signal parameters
      Simulation result
      Theoretical limits
      Theoretical result
      Ultra-wideband signal
      Bayesian networks
      Wireless telecommunication systems
      Permalink
      http://hdl.handle.net/11693/28612
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ICUWB.2009.5288766
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      • Department of Electrical and Electronics Engineering 3524
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