Please use this identifier to cite or link to this item:
Title: Estimation of closed-form least-squares source location from range-difference measurements
Authors: Balasubramaniam Gangadevi
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2011
Abstract: The closed form solution for localization of source position is presented with a set of noisy range difference measurements. The error criteria have been minimized by the linear least squares equation error minimization techniques. The range and bearing are estimated using range differences (RD) which is used by all the three source localization methods. The nine-element orthogonal passive stationary sensor array is used for geometrical interpretations. The sensor arrangement should be well represented in all three dimensions to obtain desired estimation accuracy. The analytical expressions for the bias, variance and standard deviation of the source localization estimators are validated by the Monte-Carlo simulations. A simulation model was developed in MATLAB to study the performance of all the three closed form localization estimation methods. Simulation results show the estimation accuracy of spherical interpolation (SI) with very good noise immunity as compared to the other two source localization methods.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
1.64 MBAdobe PDFView/Open

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.