机载雷达红外传感器集中式融合与管理  

Research on Centralized Fusion and Management for Airborne Radar and Infrared Sensor

作　　者：于雷[1] 黄俊[1] 庞春雨[1] 张翌[2] 

机构地区：[1]空军工程大学工程学院 [2]中国人民解放军95380部队

出　　处：《电光与控制》2009年第12期5-8,共4页Electronics Optics & Control

基　　金：空军武器装备科研基金资助项目(kj06085);军队院校优秀博士学位论文基金资助项目(BC07005)

摘　　要：提出一种机载多传感器集中式序贯融合与管理的方法。传统扩展卡尔曼滤波融合算法滤波精度不高,因此先利用雷达传感器的量测,采用修正扩展卡尔曼滤波算法对目标状态进行估计,再把估计值作为红外传感器的预测值进行序贯融合。在此基础上采用分辨力增益的方法对传感器进行管理。仿真结果表明该方法能够提高对目标的跟踪精度,增强跟踪系统对环境变化的适应能力。A new algorithm was presented for centralized sequential fusion and management of airborne multi-sensor. Since the traditional Kalman Filter fusion has relative low filtering accuracy, Modified Extended Kalman Filter （MEKF） was used for fusion of measurements of radars for estimating the target state. Then, the estimation result was taken as the predicted value of infrared sensor for sequential fusion. Discrimination gain was used for sensor management in the filtering process. Simulation results showed that the method can significantly improve the target tracking performance and adaptive capability of multi-sensor.

关 键 词：传感器管理 机载传感器 修正扩展卡尔曼滤波 序贯滤波 分辨力增益 

分 类 号：V243[航空宇航科学与技术—飞行器设计] TP273[自动化与计算机技术—检测技术与自动化装置]