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计算机系统应用英文版:2017,26(3):264-267
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基于粒子滤波的速度轨迹补偿
(中北大学山西省信息探测与处理技术重点实验室 信息与通信工程学院, 太原 030051)
Velocity Trajectory Compensation Based on Particle Filter
(Key Laboratory of Information Detection and Processing Technolog, North University of China, Taiyuan 030051, China)
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Received:June 21, 2016    Revised:September 27, 2016
中文摘要: 在膛内测速中,恢复经过特殊信号处理得到的速度缺失段时,会受到烟雾、火光和冲击波等因素的干扰,此干扰会导致实际获取的运动目标在出膛口时刻的多普勒信号能量特别微弱,速度出现相应的缺失,降低了测量的精度.针对此干扰,采用基于粒子滤波(PF)对速度轨迹做补偿的方法,避开速度缺失段对速度曲线进行采样插值,首先对插值后缺失段速度进行拟合,的方法得到缺失段速度模型,然后再利用此模型对速度进行恢复优化.由于膛口速度是判断目标出膛时刻的关键影响因素,而速度缺失段通常出现在运动目标出膛口时刻,因此采用基于粒子滤波(PF)对速度轨迹做补偿的方法对速度缺失段的恢复显得至关重要.
Abstract:In gun bore and recovery through special signal processing of speed missing segments, it is affected by smoke, flame and shock wave and other factors of interference, the interference leads that getting the actual moving target in muzzle moments of the doppler signal energy is particularly weak, speed corresponding losses, it reduces the accuracy of the measurement. According to the interference, using the method based on particle filter (PF) of the trajectory and the velocity compensation, avoids speed missing segments sampling interpolation of velocity curve, and the interpolation of missing segments of speed of fitting method missing interval velocity model is obtained, and then it uses this model to speed recovery optimization. Because the velocity loss section usually appears in the moving target, the muzzle velocity is the key factor to determine the muzzle velocity. Therefore, it is very important for the recovery of the velocity loss.
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基金项目:国家自然科学基金科学仪器基础专项(61227003)
引用文本:
高虹,苏新彦,姚金杰,王智伟.基于粒子滤波的速度轨迹补偿.计算机系统应用,2017,26(3):264-267
GAO Hong,SU Xin-Yan,YAO Jin-Jie,WANG Zhi-Wei.Velocity Trajectory Compensation Based on Particle Filter.COMPUTER SYSTEMS APPLICATIONS,2017,26(3):264-267