Author: SONG Yunzhong WANG Renhui | Time: 2020-07-10 | Counts: |
doi:10.16186/j.cnki.1673-9787.2020.4.12
Received:2019/11/28
Revised:2020/02/21
Published:2020/07/15
Underground source location based on genetic-quasi-Newton hybrid algorithm
SONG Yunzhong, WANG Renhui
School of Electrical Engineering and Automation, Henan Polytechnic University ,Jiaozuo 454000 , Henan, China
Abstract:In order to solve the problem of location of the source by using a multi-sensor network, the pulse- coupled clock synchronization algorithm was used to synchronize the clocks of all sensor network nodes,and the time differences of arrivals of the pulse signals sent by the source to each node were measured on the basis of the clock synchronization of each node.Then,combining with the global optimization ability of genetic algorithm and the fast local search ability of quasi-Newton algorithm,the method of localization of the time differences of arrivals for genetic-quasi-Newton hybrid algorithm was proposed. In order to verify the accuracy of the hybrid algorithm,the MATLAB was used to simulate the horizontal and vertical axes of the quasi-Newton algorithm and the genetic-quasi-Newton hybrid algorithm respectively. Through comparison,it was proved that the genetic-quasi-Newton hybrid algorithm had fast convergence,high precision and good stability.
Key words:source location;pulse-coupled clock synchronization;time difference of arrival;genetic-quasi-Newton hybrid algorithm
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