【摘要】 针对现代战争技术中地下炸点三维定位难、精度低的问题,提出了一种改进粒子群算法,并利用其解决群波时差地下震动目标定位的问题;该算法克服了粒子群算法本身种群数量和和质量的选择、后期容易陷入局部最优的问题;通过结合直达P波优势频率的相位差特点,利用群波时差测量信息进行定位计算,以提高定位结果的精确度;目标定位的测试结果表明,新算法在20m*20m的区域内,该方法能有效地提高目标定位精度,加入的随机噪声干扰方差的条件下,定位误差不超过10cm,且收敛速度增快,性能稳定。更多还原

【Abstract】 For the difficult and the low accuracy in positioning the target which is underground in the modern warfare,this paper puts forward an improved particle swarm optimization(PSO)algorithm,and uses target positioning vibration wave time difference of the underground group to solve the problem.The algorithm overcomes the problems of PSO itself in choosing the population quantity and quality,easy to fall into local optimal in late time.In order to improve the positioning precision,the method calculates with group of wave time difference measuring information,combining with the characteristics of direct advantage of P wave frequency of the phase difference.The test results of target positioning show that in the area of 20m*20m,the new algorithm can improve target localization accuracy effectively.With random noise interference,positioning error is less than 10 cm,and the convergence speed is faster,the performance is stable.更多还原