一种基于毫米波/红外复合制导的跟踪滤波算法

信息融合技术是毫米波/红外复合制导的关键技术之一,其中目标跟踪算法的优劣直接决定了系统的性能.针对毫米波与红外复合制导的目标跟踪,首先对毫米波传感器和红外传感器的量测数据进行了融合,并提出了一种改进的跟踪滤波算法.该跟踪算法能根据目标的机动情况实时获得滤波增益,并及时调整滤波方程,从而获得良好的跟踪效果.最后对目标的直线运动和改变航向的直线运动进行了仿真分析.仿真结果表明,与其它滤波算法相比,该算法的跟踪效果良好,跟踪精度较高且计算量少.

A Tracking Filter Algorithm Based on MMW/IR Combined Guidance

Information fusion technology is one of the key technologies of millimeter wave/infrared (MMW/IR) combined guidance. Its target tracking algorithm can directly affect the performance of a MMW/IR combined guidance system. According to the target tracking of MMW/IR combined guidance, the measurement data from both a MMW sensor and an IR sensor are fused firstly and an improved alpha-beta tracking filter algorithm is proposed. The algorithm can obtain the filter gain in light of the maneuver situation of a target in real time and adjust the filter equations in time, so as to obtain good tracking performance. Finally, the linear motion and the course-changed linear motion of the target are simulated with the improved algorithm. The simulation result shows that compared with other filter algorithms, the improved algorithm has a better tracking effectiveness, a higher tracking accuracy and a less computation quantity.