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雷达间或工作下雷达/红外融合跟踪 被引量:8

Fusion Tracking of Radar/IR Dual-mode Seeker with Radar under Intermittent-working State
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摘要 针对强对抗条件下末制导导弹寻的问题,本文提出一种雷达间或工作的雷达红外双模导弹融合跟踪算法。设计了雷达/红外双模导引头协同工作模式,通过机动目标检测算法来判断雷达开机的时刻,从而减小敌机告警器告警概率、敌机导弹拦截概率和敌机电子支援措施锁定概率;并且,为了改善跟踪精度,将交互式多模型算法(IMM)算法和不敏卡尔曼滤波(UKF)算法结合起来,将其运用在雷达红外双模融合跟踪中。实验结果表明,与单独的红外跟踪相比,该方法能有效减少雷达开机时间,不仅提高了跟踪精度,而且增大了导弹击中目标的概率。 Aiming at the homing problem of the missile under strong counterwork during the terminal guidance, a new fusion tracking algorithm for the radar of the Radar/IR dual-mode missile under intermittent-working state was presented. This algorithm decreased the warning probability of the enemy fighter, the intercepting probability of the enemy missile and the probability of radar being locked-on by Electronic Support Measure (ESM) by decreasing the working time of the radar. To improve tracking precision, the IMM algorithm and UKF algorithm were combined and then applied to the fusion tracking of the radar and the infrared. Simulation results show that, compared with the single infrared tracking, the algorithm improves the tracking precision, decreases the working time of the radar and increases the probability of the hit.
出处 《光电工程》 CAS CSCD 北大核心 2009年第6期10-14,20,共6页 Opto-Electronic Engineering
基金 国家自然科学基金资助项目(60674031) 国家"863"计划项目(2007AA701405)
关键词 雷达间或工作 雷达红外双模 交互式多模型 卡尔曼滤波 radar under intermittent-working state radar/IR dual-mode interacting multi-model Kalman filter
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