摘要
分析了角度和角度变化率被动测距系统的基本原理,研究了空间固定目标的单站被动测距方法,并提出光学成像系统中角度及角度变化率测量方法。利用Monte Carlo模拟验证了被动测距的数学模型,角度及角度变化率的测量误差是影响距离测量精度的主要因素,为了克服误差的影响,研究了基于推广卡耳曼滤波(EKF)距离估算方法。实验结果表明,对于含有零均值高斯噪声的角度和角度变化率的测量数据,利用推广卡耳曼滤波可以提高距离估算的稳定性和精度。
The theory of passive ranging from bearing and its changing rate is presented,and method of single maneuver station passive ranging for emitted target is discussed.Based on the passive ranging mathematical model,Monte Carlo simulation is used to validate the range measurement equation.Measurement error of the bearing and its changing rate is the main factor that effecting the passive ranging precision.The range estimation method based on Extended Kalman Filter（EKF） is studied in order to overcome the error effect.For the measurement data with Zero-Mean Gauss Noise and bearing changing rate,the stability and precision of ranging measurement system can be improved by EKF.
出处
《红外与激光工程》
EI
CSCD
北大核心
2008年第1期185-188,共4页
Infrared and Laser Engineering
基金
国家863高技术项目
关键词
无源定位
被动测距
推广卡耳曼滤波
Passive location
Passive ranging
Extend Kalman Filter（EKF）
