雷达/红外复合导引头信息融合算法

毫米波雷达/ 红外成像复合制导已成为当前多模复合制导技术的研究热点。从毫米波雷达/ 红外成像复合导引头系统的特点及其工程应用出发，建立了一种基于联邦滤波(FF)的分布式雷达/ 红外复合导引头信息融合算法。首先，针对扩展卡尔曼滤波存在线性化误差以及雷达测量噪声非高斯的特点，采用粒子滤波算法(PF)设计雷达子滤波器；针对红外传感器不能测量目标距离的特点，采用伪线性卡尔曼滤波算法(PLKF)设计红外子滤波器。然后通过主滤波器进行信息融合，并对两个子滤波器进行信息分配和重置。仿真结果表明，该信息融合算法能够有效地提高雷达/红外复合导引头系统的目标跟踪精度及系统的稳定性。

Information fusion algorithm for radar/IR compound seeker

MMW radar/IR compound guidance technology has become a hot research content of compound guidance field.Starting from the characteristic of MMW radar/IR composite seeker system,the federated filter(FF),structured with 2-levels,was used to set up a distribute information fusion algorithm of radar/IR composite seeker in this paper.In order to solve the problems that the extended Kalman filter algorithm had linearization errors and the glint noise of radar sensor was not a Gauss noise,the particle filter algorithm(PF) was used to design radar local filter;in order to solve the problem that the IR sensor couldn′t measure the distance between missile and target,the pseudo-linear Kalman filter(PLKF) algorithm was used to design IR local filter;and after that,the main filter was responsible for data fusion and data reset to local filters.Simulations results demonstrate the effectiveness of this mode and show that this information fusion algorithm improves the tracking precision and the stability of radar/IR compound seeker system.