DocumentCode :
615202
Title :
An nonlinear least-squares estimator with non-sensitivity initial guess for passive emitter localization
Author :
Yue Liu ; Xinhui Wu ; Wei Zuo
Author_Institution :
Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China
fYear :
2013
fDate :
18-19 May 2013
Firstpage :
97
Lastpage :
100
Abstract :
A new passive localization method with non-sensitivity to the quality of the initial guess is proposed. An adapted damping parameter is combing to nonlinear equations so as to force the nonlinear localization dynamic convergence from a wider range of initial guesses to the minimum. Although it is developed in the context of passive location using the angle-of-arrivals measurements (AOAs), the new method can be applied to other kinds of nonlinear technique localization problems. Simulation results show that the algorithm converges from a widely initial guesses, and is more robust than Gauss-Newton methods.
Keywords :
damping; direction-of-arrival estimation; least squares approximations; nonlinear equations; AOA; Gauss-Newton methods; adapted damping parameter; angle-of-arrival measurements; nonlinear equations; nonlinear least squares estimator; nonsensitivity initial guess; passive emitter localization; Convergence; Damping; Educational institutions; Noise; Position measurement; Standards; Vectors; nonlinear least squares; optimization; passive localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Network Security Technology and Privacy Communication System (SNS & PCS), 2013 International Conference on
Conference_Location :
Nangang
Print_ISBN :
978-1-4673-6452-2
Type :
conf
DOI :
10.1109/SNS-PCS.2013.6553843
Filename :
6553843
Link To Document :
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