Range resolution improvement in FM-based passive radars using deconvolution

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• 作者：Musa Tunç Arslan ; Mohammad Tofighi ; A. Enis Çetin
• 关键词：Passive radar ; Range resolution ; Deconvolution
• 刊名：Signal, Image and Video Processing
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：10
• 期：8
• 页码：1481-1488
• 全文大小：981 KB
• 刊物类别：Engineering
• 刊物主题：Signal,Image and Speech Processing
  Image Processing and Computer Vision
  Computer Imaging, Vision, Pattern Recognition and Graphics
  Multimedia Information Systems
  
• 出版者：Springer London
• ISSN：1863-1711
• 卷排序：10

文摘

FM-based passive bistatic radar (PBR) systems suffer from low range resolution because of the low baseband bandwidth of commercial FM broadcasts. In this paper, we propose a range resolution improvement method using deconvolution. The output of the PBR matched filter is processed using a deconvolution algorithm which assumes that targets are isolated, i.e., sparse in the range domain. The deconvolution algorithm is iterative and was implemented by performing successive orthogonal projections onto supporting hyperplanes of the epigraph set of a convex cost function. Simulation examples are presented.