摘要
针对作机动飞行的空中目标,利用目标多普勒信息和红外辐射信息,建立具有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,提出了一种红外系统距离估计算法.基于交互式多模型算法(IMM),以红外测距为伪距量测,提出了一种新的主动雷达和红外融合算法.对一个高机动目标跟踪进行了仿真,结果表明红外距离估计误差小,融合算法跟踪精度高,性能良好,易于工程实现.
A distance estimation model with Markov jump parameters aiming at maneuvering targets is presented based on the infrared irradiation and the Doppler velocity. Then based on the optimal filtering theory of structure stochastic jump system, an algorithm for infrared system distance estimation is proposed. A new fusion algorithm of active radar and infrared seeker based on the IMM algorithm is presented, which regards the distance of infrared measuring the target as pseudo-range measurement. The simulation results through tracking a high-maneuvering target indicate that the error of infrared distance estimate is small, the fusion algorithm has highly precision and good performance, and is easily applied in engineering practice.
出处
《控制与决策》
EI
CSCD
北大核心
2009年第2期240-243,248,共5页
Control and Decision
基金
国家自然科学基金项目(60674031)
国家863计划项目(2006AA701307)
总装预研重点基金项目(6140529)
关键词
多普勒
距离估计
结构随机跳变系统
最佳线性无偏估计
融合算法
Doppler velocity
Distance estimation
Structure stochastic iump system
Best linear unbiased estimate
Fusion algorithm
