An improved source localization algorithm based on newton iterative

被引：0
作者：
Chu, Yanli [1 ,3 ]
Fan, Yao [2 ]
He, Yuyao [1 ]
机构：
[1] School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an
[2] College of Information Engineering, Xizang Minzu University, Xianyang
[3] Department of Information Engineering, University of CAPF, Xi'an
来源：
Journal of Information and Computational Science | 2015年 / 12卷 / 13期
关键词：
Gray Discriminant; Gross Error; Newton Iteration Method; Source Localization;
D O I：
10.12733/jics20106594
中图分类号：
学科分类号：
摘要：
In the use of search algorithms for vibration targets, Newton iteration method is strict in the selection of initial values, and when the time difference measurement error is larger or the gross error is presence, the part of the equation has no solution or fuzzy solution. Aiming at this shortcoming, this paper puts forward an improved source localization algorithm based on Newton iterative. The algorithm firstly eliminates the reliability lower sensor to reduce dimension of equations according to the theory of gross error, and then calculates iterative initial value for the high reliability sensor by Chan algorithm. Through geometric accuracy error to do the second initial value selection for chosen sensors, the final Newton iterative search method is used to locate the vibration source. The experimental results show that this method can effectively improve the positioning precision of the vibration source and anti-interference ability. ©, 2015, Journal of Information and Computational Science. All right reserved.
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页码：5145 / 5152
页数：7
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