Lagrange programming neural networks for time-of-arrival-based source localization

被引:27
作者
Leung, Chi Sing [1 ]
Sum, John [2 ]
So, Hing Cheung [1 ]
Constantinides, Anthony G. [3 ]
Chan, Frankie K. W. [1 ]
机构
[1] City Univ Hong Kong, Dept Elect Engn, Kowloon Tong, Hong Kong, Peoples R China
[2] Natl Chung Hsing Univ, Inst Technol Management, Taichung 40227, Taiwan
[3] Univ London Imperial Coll Sci Technol & Med, London, England
关键词
Source localization; Stability; Neural dynamics;
D O I
10.1007/s00521-013-1466-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Finding the location of a mobile source from a number of separated sensors is an important problem in global positioning systems and wireless sensor networks. This problem can be achieved by making use of the time-of-arrival (TOA) measurements. However, solving this problem is not a trivial task because the TOA measurements have nonlinear relationships with the source location. This paper adopts an analog neural network technique, namely Lagrange programming neural network, to locate a mobile source. We also investigate the stability of the proposed neural model. Simulation results demonstrate that the mean-square error performance of our devised location estimator approaches the Cram,r-Rao lower bound in the presence of uncorrelated Gaussian measurement noise.
引用
收藏
页码:109 / 116
页数:8
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