Target Detection in Clutter Using Receiver with Reduced DOF in Frequency Domain
ID:38 View Protection:ATTENDEE Updated Time:2020-08-05 10:16:59 Hits:1375 Oral Presentation

Start Time:2020-06-09 15:00(Asia/Shanghai)

Duration:20min

Session:R Regular Session » R11Target Detection and Localization I

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Abstract
This paper addresses the problem of target detection against a background of clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector under the Neyman-Pearson criterion for general frequency snapshots selection with arbitrary DOF. If the clutter statistics are known/well-estimated, a greedy method for selecting the frequency snapshots is presented. For unknown clutter statistics, we employ a uniform random frequency snapshot selection method and show how the DOF employed affects the detection performance.
Keywords
reduced degrees of freedom; clutter; target detection
Speaker
Yang Li
University of Electronic Science and Technology of China, China

Submission Author
Yang Li University of Electronic Science and Technology of China, China
Qian He University of Electronic Science and Technology of China, China
Rick Blum Lehigh University, USA
Alexander M. New Jersey Institute of Technology, USA
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Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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