Title :
Passive localization of stationary targets: In extremely noisy conditions and asymmetric paths
Author_Institution :
Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
A new method for position determination of stationary targets from radio bearings, using triangulation, and based on the partial derivative analysis of bearing error has been proposed. Mathematical derivations have been carried out and a simulation illustrating the effectiveness of the method has been run. It turns out that, the method works best when the noise is excessively high and the traversed path is asymmetric. In such conditions, the method illustrates an error reduction of up to 5% with respect to the Least Square algorithm.
Keywords :
direction-of-arrival estimation; least squares approximations; target tracking; DOA; asymmetric path; bearing error; error reduction; least square algorithm; mathematical derivation; noisy condition; partial derivative analysis; passive localization; position determination; radio bearing; stationary target; triangulation; Accuracy; Direction-of-arrival estimation; Mathematical model; Noise; Observers; Sensitivity; DOA; bearing angle; derivative; error; localization; noise; path;
Conference_Titel :
Intelligent Signal Processing and Communications Systems (ISPACS), 2012 International Symposium on
Conference_Location :
New Taipei
Print_ISBN :
978-1-4673-5083-9
Electronic_ISBN :
978-1-4673-5081-5
DOI :
10.1109/ISPACS.2012.6473516
