A simple and efficient estimator for hyperbolic location

  • Authors:

  • Y.T. Chan;K.C. Ho

  • Affiliations:

  • Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont.;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1994

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Abstract

An effective technique in locating a source based on intersections of hyperbolic curves defined by the time differences of arrival of a signal received at a number of sensors is proposed. The approach is noniterative and gives an explicit solution. It is an approximate realization of the maximum-likelihood estimator and is shown to attain the Cramer-Rao lower bound near the small error region. Comparisons of performance with existing techniques of beamformer, spherical-interpolation, divide and conquer, and iterative Taylor-series methods are made. The proposed technique performs significantly better than spherical-interpolation, and has a higher noise threshold than divide and conquer before performance breaks away from the Cramer-Rao lower bound. It provides an explicit solution form that is not available in the beamforming and Taylor-series methods. Computational complexity is comparable to spherical-interpolation but substantially less than the Taylor-series method