Analog neural network approach for source localization using time-of-arrival measurements

Authors:
Chi-Sing Leung;H. C. So;Frankie K. W. Chan;A. G. Constantinides
Affiliations:
Dept. of Electronic Engineering, City University of Hong Kong, Hong Kong;Dept. of Electronic Engineering, City University of Hong Kong, Hong Kong;Dept. of Electronic Engineering, City University of Hong Kong, Hong Kong;Imperial College, UK
Venue:
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Year:
2012

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Abstract

Source localization can be achieved by making use of the time-of-arrival (TOA) measurements, but it is not a trivial task because the TOAs have nonlinear relationships with the source coordinates. This paper exploits a neural network technique, namely, Lagrange programming neural networks, for TOA-based localization. We also investigate the local stability of our formulation. Simulation results demonstrate that the performance of the proposed location estimator approaches the optimality benchmark of Cram${\rm\acute{e}}$r-Rao lower bound.