摘要
在分析数据链信息传输过程的基础上,运用排队理论对影响数据传输延迟的系统服务时间和排队等待时间进行建模;并提出了一种基于"当前"统计模型的数据传输延迟补偿的自适应卡尔曼滤波方法.仿真结果表明,该数据传输延迟误差补偿方法不仅使目标测量误差明显降低,而且大大提高了对目标的截获概率.
Based on the analysis of the data transmission process, models of the system service time and waiting time which affect the data transmission were established by utilizing the queue theory; An adaptive kalman filtering algorithm based on ＂current＂ statistical model was proposed to compensate the data transmission delay. Simulation results showed that data transmission delay compensation could not only obviously reduce the target measurement errors, but also greatly improve the target acquisition probability.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2012年第8期1106-1110,共5页
Journal of Beijing University of Aeronautics and Astronautics
关键词
时间延迟
排队理论
延迟补偿
自适应卡尔曼滤波
time delay
queue theory
delay-time compensation
adaptive Kalman filtering
