摘要
本文叙述的是在微型机雷达网络系统中,对实时采集的诸元进行数据三维卡尔曼滤波,该处理系统能有效地减小噪声,提高数据控制精度,准确跟踪动态目标。当动态目标丢失时,可以利用前期的滤波值进行一系列处理,使雷达重新跟上丢失的目标;当没有目标时,可以利用搜索目标处理;当目标机动时,可以利用卡尔曼滤波的统计特性,进行目标机动处理等等。本系统包括主程序和子程序共20多个,已在实际工程中运行,效果良好。
A processing system using three-dimensional Kalman filtering techniques to the real-time acquired data of microcomputer controlled radar network system is presented. This system can decrease the noise effectively and has a high data control precision. Therefore radar network system can track the dynamic target accurately. The target can be tracked again when it missed by processing the filtering data of the previous time intervals. It can scan when no target has been catched. The target can be tracked when it leaves, primary route suddenly by stochastic processing using the statistical characteristic of Kalman filtering. This processing system includes main program and more than 20 subroutines. It has been applied in practical engineering and has achieved good results.
出处
《沈阳工业大学学报》
EI
CAS
1989年第3期115-120,共6页
Journal of Shenyang University of Technology
关键词
微机
雷达
网络
系统
滤波理论
microcomputers
radar
systems
filtering theory
real time control
