基于BLUE的雷达/红外异步融合算法研究  

Asynchronous Fusion Algorithm Research Based on BLUE for Netted System of Radar/IR Sensors

作　　者：盛琥 汪海兵 SHENG Hu;WANG Haibing(The 38th Research Institute of China Electronics Technology Group Corporation,Hefei 230088,China;College of Electronic Engineering,National University of Defense Technology,Hefei 230037,China)

机构地区：[1]中国电子科技集团公司第三十八研究所,安徽合肥230088 [2]国防科技大学电子对抗学院,安徽合肥230037

出　　处：《雷达科学与技术》2023年第5期575-580,590,共7页Radar Science and Technology

基　　金：安徽省自然科学基金(No.1708085MF153)。

摘　　要：多传感器融合是提高态势感知能力的重要手段。为提高探测能力,将雷达和红外传感器组网,各传感器独立工作,在统一调度下,完成探测、跟踪、识别任务。研究该系统的雷达/红外数据融合算法,针对传感器异步探测特点,采用观测驱动的融合跟踪方法:雷达探测到目标时,采用基于状态预测的改进BLUE(Best Lin-ear Unbiased Estimation)滤波,通过方位预测的辅助,减小测角误差非线性效应,提高跟踪性能;红外探测到目标时,基于方位预测和斜距观测,构造新的转换量测模型,实现基于不完备观测的修正BLUE滤波器。理论分析和仿真证明:所述雷达/红外数据融合方法,在不同传感器布局下都具备更优的综合性能,其设计思想可解决其他类似的多传感器融合问题,有较好的应用推广潜力。Multi-sensor fusion plays an important role in situation awareness improvement.To improve detection ability,a radar/infrared netted system is proposed.All sensors work independently,and accomplish detection,tracking,and recognition tasks under unified schedule.For radar target tracking,an improved BLUE(Best Linear Unbiased Esti-mation)filter is presented,which enhances tracking ability by decreasing azimuth estimation error.For infrared target tracking,a modified BLUE filter is presented,which solves the bearing-only target tracking problem.Theoretic analysis and numeric results verify that the proposed approach exhibits improved tracking performance and computational advan-tage over others in different sensor geometries.The architecture design can be used to solve other multi-sensor fusion problems,so this scheme is worth further development and promotion.

关 键 词：多传感器数据融合 非线性滤波 最佳线性无偏估计 卡尔曼滤波 

分 类 号：TN953[电子电信—信号与信息处理]