Cognitive approaches to detection of small targets

E. Humphreys, M. Antoniou, C. Baker, W. Stafford

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


This paper shows the early results from an investigation into the potential gain in detection performance achievable by optimizing the parameterization of a CA-CFAR detector to local clutter behaviour. The effect of varying CFAR window length is studied in particular for range correlated time independent samples, and the CFAR Loss (measured by increasing the RCS of a non-fluctuating target simulated at each range cell) of an optimal 'fixed' CFAR is compared to a varying window length that minimizes CFAR Loss for each range cell, showing potential performance increase.

Original languageEnglish
Title of host publication2020 17th European Radar Conference (EuRAD)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)9782874870613
ISBN (Print)9781728170602 (PoD)
Publication statusPublished - 3 Feb 2021
Event17th European Radar Conference, EuRAD 2020 - Utrecht, Netherlands
Duration: 13 Jan 202115 Jan 2021

Publication series

NameEuropean Radar Conference (EURAD)


Conference17th European Radar Conference, EuRAD 2020

Bibliographical note

Publisher Copyright:
© 2021 EuMA.


  • CFAR
  • cognitive radar
  • radar detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation


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