摘要
针对无源探测下存在探测概率低、数据率低、精度较低等问题,为了提高目标定位跟踪精度,利用克莱默下界(CRLB)理论,推导了不完全量测下最优估计方差下界公式。从而分析以上因素对目标跟踪的影响,为设计跟踪系统提供指标参考。理论仿真与KALMAN滤波数值仿真表明,在无法提高观测器精度的情形下,通过提高系统灵敏度以提升信号截获概率,增加分布式布站组网探测关联融合提高信息数据率,能显著提高被动定位跟踪精度。
According to the low probability of interception,low data rate,and low accuracy of measurement in passive location,a formula of optimal estimate variance low bound is presentes for uncertain observation by utilizing CRLB. Further these factors on the effect of target tracking are analyzed,and the analysis report provided a reference for the design of the tracking system. The theory simulation and KALMAN filter simulation indicates that the passive location and tracking accuracy can be improved by enhancing the system sensitivity and increasing the number of distributed network observation equipment.
出处
《火力与指挥控制》
CSCD
北大核心
2014年第1期58-62,共5页
Fire Control & Command Control
关键词
被动定位跟踪
探测概率
数据率
CRLB
CRLB
passive location and tracking
detection probability
data rate
