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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 basic principles of the passive ranging system with angle and angular rate of change are analyzed. The method of single station passive ranging with fixed target in space is studied. The method of measuring the angle and angle of the optical imaging system is proposed. Monte Carlo simulation is used to verify the mathematical model of passive ranging. The measurement error of angle and angular rate of change is the main factor affecting the accuracy of distance measurement. In order to overcome the influence of error, the method of estimating distance based on extended Kalman filter (EKF) . The experimental results show that for the measurement data of angle and angle change with zero-mean Gaussian noise, using the extended Kalman filter can improve the stability and accuracy of distance estimation.