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模拟退火遗传算法在多声源定位中的应用 被引量:3

Genetic simulated annealing algorithm and its application in the multi-sound source localization
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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。 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 is proposed to solve short interval successive multi-sound sources to pinpoints.By testing transmission interval of 0.15 s, 7 rounds in the 600 m600 m region localization, the results show that the algorithm in the article can be quickly and effectively to solve short intervals continuous multi-source target position resolution, and the positioning accuracy achieves less than 5 m.
作者 于国栋 吴玉宏 宋永志 YU Guodong;WU Yuhong;SONG Yongzhi(Baicheng Ordnance Test Center of China, Baicheng 137001, China)
出处 《应用声学》 CSCD 北大核心 2017年第2期116-121,共6页 Journal of Applied Acoustics
基金 军队试验技术研究项目(12-sy14)
关键词 声源定位 模拟退火遗传 短间隔 多声源 Sound localization Genetic simulated annealing Short interval Multi-sound sources
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