278 / 2020-01-05 08:36:00
Target Detection in Clutter Using Receiver with Reduced DOF in Frequency Domain
reduced degrees of freedom; clutter; target detection
Draft Accepted
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
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.
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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