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模拟退火遗传算法在多声源定位中的应用
引用本文:于国栋,吴玉宏,宋永志. 模拟退火遗传算法在多声源定位中的应用[J]. 应用声学, 2017, 36(2): 116-121
作者姓名:于国栋  吴玉宏  宋永志
作者单位:中国白城兵器试验中心,中国白城兵器试验中心,中国白城兵器试验中心
基金项目:军队试验技术研究项目(12-sy14)
摘    要:利用声源定位技术测量弹丸落点坐标时,针对多发炮弹短间隔连续射击试验中,传感器接收信号的时序关系复杂,严重影响声源定位结果准确性的问题,提出了采用模拟退火遗传算法实现短间隔连续多声源目标的精确定位。试验测试了发射间隔为0.15 s的7发炮弹在600 m×600 m区域内的定位情况,结果表明:文章的算法能快速有效的对短间隔连续多声源目标进行定位解算,定位精度小于5 m。

关 键 词:声源定位  模拟退火遗传  短间隔  多声源
收稿时间:2016-06-06
修稿时间:2016-09-21

Genetic Simulated Annealing Algorithm and Its Applicationin the multi-sound source localization
YU Guo-dong,WU Yuhong and SONG Yongzhi. Genetic Simulated Annealing Algorithm and Its Applicationin the multi-sound source localization[J]. Applied Acoustics(China), 2017, 36(2): 116-121
Authors:YU Guo-dong  WU Yuhong  SONG Yongzhi
Affiliation:Baicheng Ordnance Test Center of China,Baicheng Ordnance Test Center of China and Baicheng Ordnance Test Center of China
Abstract:According to the complex timing relationship of the received signal which affects the accuracy of the results of sound source localization seriously when using the sound source localization techniques to measure the projectile falling point coordinate for multiple rounds short interval of continuous shooting test. Genetic simulated annealing algorithm was proposed to solve short interval successive multi-sound sources to pinpoints. By testing transmission interval of 0.15 seconds,7 rounds in the 600m×600m region localization,the results showed that the algorithm of the article can be quickly and effectively to short intervals continuous multi- source target position resolution,and the positioning accuracy achieves less than 5 meters.
Keywords:sound localization  genetic simulated annealing  short interval  multi-sound sources
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