A NOVEL INITIALIZATION METHOD FOR EM-BASED ISAR SCATTERER TRAJECTORY MATRIX COMPLETION

被引：0

作者：

Liu, Lei ^{[1
]}

Zhou, Feng ^{[1
]}

Shi, Xiaoran ^{[1
]}

机构：

[1] Xidian Univ, Minist Educ, Key Lab Elect Informat Counter Measure & Simulat, Xian 710071, Shaanxi, Peoples R China

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

inverse synthetic aperture radar (ISAR); scatterer trajectory matrix; expectation maximization (EM); initialization; Kalman filter; MOTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To improve the performance of expectation maximization (EM) in retrieving the missing data of inverse synthetic aperture radar (ISAR) scatterer trajectory matrix, a novel initialization method is proposed. Firstly, we derive the ellipse motion dynamics of the projected scatterer trajectory. Then, based on estimated ellipse parameters using known data of each scatterer trajectory, we propose the bidirectional Kalman filter to initialize the missing data. Finally, EM algorithm is applied to estimate the missing data and factorization method is performed on the complete trajectory matrix to obtain the three-dimensional geometry of scatterers. Experimental results using simulated data verify the effectiveness of the proposed initialization method.

引用

页码：2286 / 2289

页数：4