Target detection in clutter using receiver with reduced DOF in frequency domain

Yang Li, Qian He, Rick S. Blum, Alexander M. Haimovich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020
PublisherIEEE Computer Society
ISBN (Electronic)9781728119465
DOIs
StatePublished - Jun 2020
Event11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020 - Hangzhou, China
Duration: Jun 8 2020Jun 11 2020

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2020-June
ISSN (Electronic)2151-870X

Conference

Conference11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020
CountryChina
CityHangzhou
Period6/8/206/11/20

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Clutter
  • Reduced degrees of freedom (DOF)
  • Target detection

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