Moving Target Tracking Based on Improved GMPHD Filter in Circular SAR System

被引：15

作者：

Zhang, Yun ^{[1
]}

Mu, Huilin ^{[1
]}

Jiang, Yicheng ^{[1
]}

Ding, Chang ^{[1
]}

Wang, Yong ^{[1
]}

机构：

[1] Harbin Inst Technol, Inst Elect Engn Technol, Harbin 150001, Heilongjiang, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2019年 / 16卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Circular synthetic aperture radar (SAR); Gaussian mixture probability hypothesis density (GMPHD) filter; moving target tracking; RADAR; PHD;

D O I：

10.1109/LGRS.2018.2878467

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

A new moving target tracking method based on an improved Gaussian mixture probability hypothesis density (GMPHD) filter in a circular synthetic aperture radar (SAR) system is proposed. In order to obtain the temporal dynamic behavior of moving targets in a SAR scene, a multiple-target observation is first extracted from a sequence of clutter-suppressed subaperture circular SAR images. Then, a new multiple-target tracking model for the circular SAR system is established based on the dynamic behavior of moving targets. An improved labeled GMPHD filter with an adaptive target birth intensity is proposed to realize the moving target detection and tracking in a strong ground clutter environment, which is suitable for the circular SAR system. This method can not only provide accurate estimates for the number and states of moving targets but also can extract their trajectories. The effectiveness of the proposed method is verified through simulations and experimental Gotcha data.

引用

页码：559 / 563

页数：5

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