摘要
针对单兵声目标探测中,由于麦克风拓扑结构优化不足,造成目标定位精度低的问题,提出了一种基于量子粒子群算法的声阵列优化布设方法。首先利用量子粒子群全局搜索的优势,将麦克风声阵列坐标作为搜索粒子,在预设区域内进行全局寻优;其次利用均方根误差构造粒子搜索的适应度函数,得到最佳位置评价准则;最后进行数值仿真,通过环形全向声源定位实验,对比不同麦克风拓扑结构的定位性能。实验结果表明,与规则布站方式相比,优化后的阵列定位精度有明显的提升,其中几何精度因子降低至1.470 2 m,克拉美-罗下界减小至1.281 0 m,球概率误差缩减至1.4 m。为我国单兵高精度声源定位、态势感知提供有力的理论支撑。
In order to solve the problem of low positioning accuracy caused by insufficient microphone topology optimization in individual soldier acoustic target detection, an acoustic array optimization deployment method based on quantum particle swarm optimization algorithm is proposed in this paper. Firstly, taking advantage of the global search of quantum particle swarm optimization, the coordinates of microphone wind array are used as search particles to perform global optimization in the preset region;Secondly, the fitness function of particle search is constructed by using root mean square error, and the optimal position evaluation criterion is obtained;Thirdly, the numerical simulation is carried out to compare the positioning performance of different microphone topologies through the circular omnidirectional sound source positioning experiment. The experimental results show that compared with the regular station arrangement, the positioning accuracy of the optimized array is significantly improved, in which the geometric accuracy factor is reduced to 1.470 2 m, the Cramer Luo lower bound is reduced to 1.281 0 m, and the ball probability error is reduced to 1.4 m.The research of this paper will provide a strong theoretical support for the high-precision sound source location and situation awareness of individual soldiers in China.
作者
孙泽鹏
李剑
苏新彦
刘晓佳
马明星
Sun Zepeng;Li Jian;Su Xinyan;Liu Xiaoja;Ma Mingxing(State Key Laboratory of Dynamic Testing Technology,North University of China,Taiyuan 030051,China;Shanxi Key Laboratory of Information Detection and Processing,North University of China,Taiyuan 030051,China)
出处
《国外电子测量技术》
北大核心
2022年第8期1-6,共6页
Foreign Electronic Measurement Technology
基金
国家自然基金青年科学基金(61901419)项目资助。
