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机载有源无源雷达联合探测数据融合研究
引用本文:刘浩,任清安,方青. 机载有源无源雷达联合探测数据融合研究[J]. 中国电子科学研究院学报, 2011, 6(1): 49-53
作者姓名:刘浩  任清安  方青
作者单位:中国电子科技集团公司第38研究所,合肥,230031
摘    要:针对机载有源无源雷达量测数据不同步、不同维的特点,提出了基于自适应变维非线性量测最优线性无偏滤波(BLUF)有源无源数据融合方法。首先将三维的非线性量测的最优线性无偏滤波推广到六维的情况,然后针对融合中心收到的量测数据的类型采用不同维的最优线性无偏滤波。该融合方法不但有效地解决了机载有源无源雷达数据的不同步、不同维给融合带来的困难,还大大提高了融合的精度。通过仿真证明了自适应变维的有源无源数据融合方法的有效性。

关 键 词:有源无源雷达  数据融合算法  非线性量测

Research on Data Fusion of Airborne Passive Radar/Radar Combined Detection System
LIU Hao,REN Qing-an,FANG Qing. Research on Data Fusion of Airborne Passive Radar/Radar Combined Detection System[J]. Journal of China Academy of Electronics and Information Technology, 2011, 6(1): 49-53
Authors:LIU Hao  REN Qing-an  FANG Qing
Affiliation:LIU Hao,REN Qing-an,FANG Qing(The 38th Research Institute of CETC,Hefei 230031,China)
Abstract:A passive radar/radar data fusion algorithm based on variable dimension BLUF(Best Linear Unbiased Filtering) with nonlinear measurements is proposed according to the asynchronous and different dimension measurements of the airborne passive radar/radar.Firstly,the three dimensions BLUF with nonlinear measurements is extended to six dimensions condition,then the variable dimension BLUF are introduced according to measure types that the fusion center receives.The presented data fusion algorithm not only resolv...
Keywords:passive radar/radar  data fusion algorithm  nonlinear measurement  
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