SAR Ground Moving Target Imaging Algorithm Based on Parametric and Dynamic Sparse Bayesian Learning

• Main Authors: Yang, Lei, Zhao, Lifan, Bi, Guoan, Zhang, Liren
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2017
• 主題: Ground moving target imaging; Lv’s distribution
• 在線閱讀: https://hdl.handle.net/10356/86047; http://hdl.handle.net/10220/43922

In this paper, a novel synthetic aperture radar (SAR) ground moving target imaging (GMTIm) algorithm is presented within a parametric and dynamic sparse Bayesian learning (SBL) framework. A new time-frequency representation, which is known as Lv's distribution (LVD), is employed on the moving t...