Open Access

Minimum Variance Signal Selection for Aorta Radius Estimation Using Radar

  • LarsErik Solberg1Email author,
  • Svein-Erik Hamran2, 3,
  • Tor Berger2 and
  • Ilangko Balasingham1, 4
EURASIP Journal on Advances in Signal Processing20102010:682037

https://doi.org/10.1155/2010/682037

Received: 9 March 2010

Accepted: 7 June 2010

Published: 30 June 2010

Abstract

This paper studies the optimum signal choice for the estimation of the aortic blood pressure via aorta radius, using a monostatic radar configuration. The method involves developing the Cramér-Rao lower bound (CRLB) for a simplified model. The CRLB for model parameters are compared with simulation results using a grid-based approach for estimation. The CRLBs are within the 99% confidence intervals for all chosen parameter values. The CRLBs show an optimal region within an ellipsoid centered at 1 GHz center frequency and 1.25 GHz bandwidth with axes of 0.5 GHz and 1 GHz, respectively. Calculations show that emitted signal energy to received noise spectral density should exceed for a precision of approximately 0.1 mm for a large range of model parameters. This implies a minimum average power of 0.4  . These values are based on optimistic assumptions. Reflections, improved propagation model, true receiver noise, and parameter ranges should be considered in a practical implementation.

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Authors’ Affiliations

(1)
Interventional Centre, Oslo University Hospital and Interventional Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
(2)
Forsvarets forskningsinstitutt, Kjeller, Norway
(3)
Department of Geosciences, University of Oslo, BlindernOslo, Norway
(4)
Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

Copyright

© Lars Erik Solberg et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.