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  • Research Article
  • Open Access

Minimum Variance Signal Selection for Aorta Radius Estimation Using Radar

  • 1Email author,
  • 2, 3,
  • 2 and
  • 1, 4
EURASIP Journal on Advances in Signal Processing20102010:682037

  • Received: 9 March 2010
  • Accepted: 7 June 2010
  • Published:


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.


  • Radar
  • Optimal Region
  • Publisher Note
  • Aortic Blood
  • Optimum Signal

Publisher note

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Authors’ Affiliations

Interventional Centre, Oslo University Hospital and Interventional Centre, Institute of Clinical Medicine, University of Oslo, Sognsvannsveien 20, 0027 Oslo, Norway
Forsvarets forskningsinstitutt, Postboks 25, 2027 Kjeller, Norway
Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway
Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway


© 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.