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针对机动飞行的空中点目标,利用测量目标红外辐照度变化的测距原理,建立了具有Markov跳变参数的红外系统距离估计模型,基于结构随机跳变系统最优滤波理论,提出了一种新的红外系统距离估计算法。考虑算法的实时性,推导了两种简化算法。该方法的优点在于不需要限制目标的运动方式。仿真结果表明三种算法都能准确的估计红外系统距离,简化算法具有很高的实时性,易于工程实现。
For the air-point target of maneuvering flight, the distance estimation model of infrared system with Markov jump parameters is established by using the ranging principle of measuring the change of infrared irradiance. Based on the optimal filtering theory of structure-based random transition system New infrared system distance estimation algorithm. Considering the real-time of the algorithm, two simplified algorithms are deduced. The advantage of this method is that there is no need to limit the target’s movement pattern. Simulation results show that the three algorithms can accurately estimate the distance of the infrared system. The simplified algorithm has high real-time performance and is easy to implement.