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。
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 resolves the trouble of the passive radar/radar data fusion due to asynchronous and different dimension measurements,but also improves the performance of the data fusion.The simulations presented in the last paper show that the proposed algorithm is effective to solve the passive radar/radar data fusion.
出处
《中国电子科学研究院学报》
2011年第1期49-53,共5页
Journal of China Academy of Electronics and Information Technology
关键词
有源无源雷达
数据融合算法
非线性量测
passive radar/radar
data fusion algorithm
nonlinear measurement
