摘要
为准确测定危化气体泄漏的位置,借助卫星四元定位法,根据传感器与声源“一发四收”的反演关系,不考虑卫星速度与收发钟差的影响,获得了声源位置的非线性超定方程组,并提出了结合量子遗传算法(QGA)和Fmincon约束条件的优化算法求解该方程组,有效解决了其他方法易陷入局部收敛的难题。实验结果显示,改进的量子遗传声源定位方法,相比于最小二乘法(LS)、粒子群算法(PSO)以及普通QGA算法,具有收敛性能好,定位效率高,定位精确度高等优点。在同一条件下,该方法在平均均方根误差(ARMSE)、相对定位误差(RPE)、贝塞尔均方误差(BMSE)等重要性能评价指标上均有明显提高。
In order to accurately determine the position of dangerous chemical gas leak,satellite positioning method is adopted according to the four-receive one-transmit inversion relation between the sensor and the sound source,without regarding the speed of the satellite and the difference between sending and receiving clock.The nonlinear overdetermined equations of sound source location are obtained,and an optimization algorithm combining Quantum Genetic Algorithm(QGA)and Fmincon constraints is proposed to solve the equations,which effectively solves the problem that other methods are easy to fall into local convergence.Experimental results show that compared with Least Squares(LS),Particle Swarm Optimization(PSO)and QGA,the improved method has high convergence performance,high positioning efficiency and high positioning accuracy.Under the same condition,the method improves significantly in terms of important performance evaluation indexes such as Average Root Mean Square Error(ARMSE),Relative Position Error(RPE)and Bessel's Mean Square Error(BMSE).
作者
孙烨辰
李鹏
SUN Yechen;LI Peng(Jiangsu Key Laboratory of Meteorological Detection and Information Processing,Nanjing Jiangsu 210044,China;Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210044,China;Binjiang College,Nanjing University of Information Science and Technology,Wuxi Jiangsu 214105,China)
出处
《太赫兹科学与电子信息学报》
2022年第10期1017-1025,共9页
Journal of Terahertz Science and Electronic Information Technology
基金
无锡市社会发展科技示范工程资助项目(N20191008)。
关键词
声源定位
QGA优化算法
Fmincon约束
卫星模型反演
传感器阵列
the sound source localization
QGA optimization algorithm
Fmincon constraints
satellite model inversion
sensor array
