Denoised Maximum Likelihood Estimation of Chest Wall Displacement from the IR-UWB Spectrum | Zendy

Van Nguyen | Zendy; Mary Ann Weitnauer | Zendy

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Denoised Maximum Likelihood Estimation of Chest Wall Displacement from the IR-UWB Spectrum

Author(s) -

Van Nguyen,

Mary Ann Weitnauer

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2812890

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

We present a novel method of estimating the chest wall displacement in the frequency domain from a narrow portion of the IR-UWB radar received spectrum. A Maximum Likelihood (ML) estimator of the displacement is designed, and the associated bias and Cramér-Rao lower bound of the ML estimator are analyzed. To improve estimation accuracy, empirical mode decomposition is applied to denoise the ML-estimated displacement. Simulation studies are conducted to evaluate the performance of the proposed method under realistic system parameter values. The computational complexity of the proposed method is low and equal to that of the Discrete Fourier Transform.

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