| 基于联合像素模型的InSAS干涉相位估计方法 |
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| 引用本文： | 白生祥,唐劲松,张森.基于联合像素模型的InSAS干涉相位估计方法[J].武汉理工大学学报,2011(9):145-149. |
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| 作者姓名： | 白生祥 唐劲松 张森 |
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| 作者单位： | 海军工程大学电子工程学院; |
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| 基金项目： | 国家自然科学基金(61072092,61101205) |
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| 摘 要： | 针对干涉合成孔径声呐(InSAS)成像的特点,提出了一种新的联合观测矢量构造方法用于InSAS干涉相位的估计。新方法构造的观测矢量的协方差矩阵具有确定的噪声子空间维数(为定值1),避免了原方法中因噪声子空间维数估计不准确带来的相位估计误差;另外,观测矢量构造维数更少,提高了计算效率。仿真数据及InSAS实测数据的处理结果证明了此方法的有效性。
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| 关 键 词： | 干涉合成孔径声纳 干涉相位 配准误差 联合像素模型 |
InSAS Interferometric Phase Estimation Based on Joint Pixel Model |
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| BAI Sheng-xiang,TANG Jin-song,ZHANG Sen.InSAS Interferometric Phase Estimation Based on Joint Pixel Model[J].Journal of Wuhan University of Technology,2011(9):145-149. |
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| Authors: | BAI Sheng-xiang TANG Jin-song ZHANG Sen |
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| Affiliation: | BAI Sheng-xiang,TANG Jin-song,ZHANG Sen (School of Electronic Engineering,Naval Engineering University,Wuhan 430033,China) |
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| Abstract: | A novel joint data vector formulation method for InSAS interferometric phase estimation is proposed in this paper.The method does not need to calculate the noise subspace dimension of the covariance matrix in estimating the InSAS interferometric phase,thus avoiding the effect due to the inaccuracy estimate of the noise subspace dimension.Computer simulation and the real data of InSAS results show the validity and high efficiency of the method. |
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| Keywords: | InSAS interferometric phase coregistration error joint pixel model |
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