YE Fan, HE Feng, LIANG Dian-nong. A New Method for Radar Two-Dimensional Signal Fusion Based on EMEMP[J]. Acta Electronica Sinica, 2009, 37(12): 2609-2613.
YE Fan, HE Feng, LIANG Dian-nong. A New Method for Radar Two-Dimensional Signal Fusion Based on EMEMP[J]. Acta Electronica Sinica, 2009, 37(12): 2609-2613.DOI：
且存在模型极点失配的问题.本文通过将MEMP(Matrix Enhancement and Matrix Pencil)的二维频率估计方法推广到稀疏数据域
提出了一种基于扩展矩阵增强矩阵束(EMEMP)的融合新方法.此方法首先构造每一维联合增强矩阵
使其满足MEMP算法的配对要求
然后利用MEMP方法估计模型极点
进行极点配对
然后估计模型系数
最后内插频谱以达到融合的目的.实验结果表明相对于传统融合方法
该方法解决了极点失配的问题
提高了模型参数估计的稳健性.
Abstract
Radar signal fusion imaging is a new parameterized method.It can remarkably improve image resolution.Traditional fusion method based on modified Root-Music is sensitive to noise
and can not pair model poles exactly.Thus this paper extended MEMP (Matrix Enhancement and Matrix Pencil) to the two-dimensional frequencies estimation of spare data
and proposed a novel fusion technique based on Extended Matrix Enhancement and Matrix Pencil (EMEMP) method in order to apply to sparse data fusion.First
combinative enhanced matrix in each dimension is constructed to satisfy pairing requirement of MEMP method.Then model poles are estimated and paired by MEMP method.Once model coefficients are estimated
bandwidth interpolation is implemented to fuse radar data.The experimental results show that new technique can resolve the problem of poles mismatch
and improve stability of parameters estimation relatively to traditional fusion methods.
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