针对多红外传感器观测系统的配置问题,本文首先采用扩展卡尔曼滤波与集中式融合相结合的算法进行被动目标跟踪,给出了算法的克拉美-劳下限,在此基础上分析比较了防区内对不同目标航迹的跟踪性能,给出了跟踪精度的几何分布,分析了系统参数对跟踪精度的影响,给出了提高系统性能的措施。
In combination with the needs originated from the construction of measurement system based on multiple infrared sensors, the central fusion structure and Extended Kalman Filter (EKF) were selected. The Cramér-Rao Lower Bound (CRLB) of the algorithm was produced. The Geometrical Dilution Tracking Error (GDTE) was presented to show the performance of the algorithm in the surveillance area. After analyzing the effects of the system parameters, the improved measures were brought forward.