弹载雷达红外复合系统信息融合算法研究
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摘要
基于对日益复杂的战场电磁环境的适应性以及提高目标探测跟踪能力的目的,本文分析了弹载雷达红外复合系统的技术优势,着重研究了作为雷达红外复合系统技术关键的信息融合处理算法,采用数据关联融合检测和多传感器概率关联跟踪滤波算法,确保雷达红外复合系统在杂波环境下的检测关联正确率和目标跟踪精度,通过仿真验证表明该融合跟踪滤波算法能够满足高精度制导的信息需求、有利于提高对目标的跟踪性能。
On account of the adaptability to the increasingly complicated electromagnetic environment and the intention of improving ability for target detection and tracking, this paper analyses the technical superiority of missile-borne radar and IR composite system. The information fusion algorithms known as the technology key of the radar and IR composite system are presented emphatically. The fusing detection and tracking algorithms,data-relevancy fusing detection algorithm and multi-sensor probability data association filtering algorithm, ensure detection relevancy accuracy and target tracking precision in clutter surroundings for radar and IR composite system. By means of simulation analysis, it is indicated that the fusion tracking filter algorithms are capable of meeting with the information requirement of high-accuracy guidance and improving target tracking performance.
On account of the adaptability to the increasingly complicated electromagnetic environment and the intention of improving ability for target detection and tracking, this paper analyses the technical superiority of missile-borne radar and IR composite system. The information fusion algorithms known as the technology key of the radar and IR composite system are presented emphatically. The fusing detection and tracking algorithms,data-relevancy fusing detection algorithm and multi-sensor probability data association filtering algorithm, ensure detection relevancy accuracy and target tracking precision in clutter surroundings for radar and IR composite system. By means of simulation analysis, it is indicated that the fusion tracking filter algorithms are capable of meeting with the information requirement of high-accuracy guidance and improving target tracking performance.
引文
[1]袁小虎,胡云安,主编.导弹制导原理[M].北京:兵器工业出版社,2009.
[2]卢大威,高彦钊,晏行伟,等.基于角度观测关联对的NNEKF红外/毫米波融合跟踪算法[J].弹箭与制导学报,2011,31(5):4-8.
[3]殷艳华,王学伟.雷达/红外成像复合制导信息融合技术[J].红外与激光工程,2009,28(3):548-552.
[4]倪龙强,高杜生,孟祥欣,等.一种红外与雷达信息融合跟踪算法及其性能分析[J].火箭发射与控制学报,2014,35(4):44-48.
[5]王越,周德云,杨维,等.多种异类传感器联合跟踪的异步航迹融合算法[J].弹箭与制导学报,2014,34(2):153-156.
[6]何友,王国宏等著.多传感器信息融合及应用[M].2版.北京:电子工业出版社,2007.
[7]石章松,刘忠.目标跟踪与数据融合理论及方法[M].北京:国防工业出版社,2010.
[8]谢泽峰,高宏峰,任亚飞.基于UKF的雷达/红外分布式加权融合算法[J].导弹与航天运载技术,2013,326(3):59-62.
[9]秦彦源,敬忠良,雷明.多传感器目标检测跟踪与分类算法[J].计算机仿真,2014,31(9):364-368.
[10]夏佩伦.目标跟踪与信息融合[M].北京:国防工业出版社,2010.
[11]李相平,王光复,谢志敏.毫米波/红外复合制导目标融合跟踪算法[J].制导与引信,2010,31(1):9-13.
[12]王永安,何光进,刘毅.基于卡尔曼滤波的多传感器跟踪融合算法[J].船电技术,2013,33(2):4-7.
[13]崔彦凯,梁晓庚.杂波环境下雷达/红外融合跟踪的修正概率数据互联滤波算法[J].计算机工程与科学,2013,35(12):185-190.
[14]张锐,胡国平.一种基于IMM/MSPDAF的多传感器数据融合目标跟踪算法[J].现代防御技术,2010,38(6):123-127.
[15]张翊安,刘世前,敬忠良,等.雷达和红外融合对高机动目标跟踪仿真研究[J].计算机仿真,2011,28(10):23-27.
[2]卢大威,高彦钊,晏行伟,等.基于角度观测关联对的NNEKF红外/毫米波融合跟踪算法[J].弹箭与制导学报,2011,31(5):4-8.
[3]殷艳华,王学伟.雷达/红外成像复合制导信息融合技术[J].红外与激光工程,2009,28(3):548-552.
[4]倪龙强,高杜生,孟祥欣,等.一种红外与雷达信息融合跟踪算法及其性能分析[J].火箭发射与控制学报,2014,35(4):44-48.
[5]王越,周德云,杨维,等.多种异类传感器联合跟踪的异步航迹融合算法[J].弹箭与制导学报,2014,34(2):153-156.
[6]何友,王国宏等著.多传感器信息融合及应用[M].2版.北京:电子工业出版社,2007.
[7]石章松,刘忠.目标跟踪与数据融合理论及方法[M].北京:国防工业出版社,2010.
[8]谢泽峰,高宏峰,任亚飞.基于UKF的雷达/红外分布式加权融合算法[J].导弹与航天运载技术,2013,326(3):59-62.
[9]秦彦源,敬忠良,雷明.多传感器目标检测跟踪与分类算法[J].计算机仿真,2014,31(9):364-368.
[10]夏佩伦.目标跟踪与信息融合[M].北京:国防工业出版社,2010.
[11]李相平,王光复,谢志敏.毫米波/红外复合制导目标融合跟踪算法[J].制导与引信,2010,31(1):9-13.
[12]王永安,何光进,刘毅.基于卡尔曼滤波的多传感器跟踪融合算法[J].船电技术,2013,33(2):4-7.
[13]崔彦凯,梁晓庚.杂波环境下雷达/红外融合跟踪的修正概率数据互联滤波算法[J].计算机工程与科学,2013,35(12):185-190.
[14]张锐,胡国平.一种基于IMM/MSPDAF的多传感器数据融合目标跟踪算法[J].现代防御技术,2010,38(6):123-127.
[15]张翊安,刘世前,敬忠良,等.雷达和红外融合对高机动目标跟踪仿真研究[J].计算机仿真,2011,28(10):23-27.