Modified Levenberg-Marquardt algorithm for source localization using AOAs in the presence of sensor location errors |
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Authors: | Wu Xinhui Huang Gaoming Gao Jun |
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Affiliation: | 1. College of Electronic Engineering, Naval University of Engineering, Wuhan 430034, P.R.China; Automatization of Command Institute, Academy of Navy Equipment, Beijing 100036 2. College of Electronic Engineering, Naval University of Engineering, Wuhan 430034, P.R.China |
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Abstract: | In this paper,by utilizing the angle of arrivals(AOAs) and imprecise positions of the sensors,a novel modified Levenberg-Marquardt algorithm to solve the source localization problem is proposed.Conventional source localization algorithms,like Gauss-Newton algorithm and Conjugate gradient algorithm are subjected to the problems of local minima and good initial guess.This paper presents a new optimization technique to find the descent directions to avoid divergence,and a trust region method is introduced to accelerate the convergence rate.Compared with conventional methods,the new algorithm offers increased stability and is more robust,allowing for stronger non-linearity and wider convergence field to be identified.Simulation results demonstrate that the proposed algorithm improves the typical methods in both speed and robustness,and is able to avoid local minima. |
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Keywords: | source localization angle of arrivals (AOAs) nonlinear least-squares estimators Levenberg-Marquardt algorithm |
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