Abstract
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 language | English |
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Title of host publication | 2020 17th European Radar Conference (EuRAD) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 366-369 |
Number of pages | 4 |
ISBN (Electronic) | 9782874870613 |
ISBN (Print) | 9781728170602 (PoD) |
DOIs | |
Publication status | Published - 3 Feb 2021 |
Event | 17th European Radar Conference, EuRAD 2020 - Utrecht, Netherlands Duration: 13 Jan 2021 → 15 Jan 2021 |
Publication series
Name | European Radar Conference (EURAD) |
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Conference
Conference | 17th European Radar Conference, EuRAD 2020 |
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Country/Territory | Netherlands |
City | Utrecht |
Period | 13/01/21 → 15/01/21 |
Bibliographical note
Publisher Copyright:© 2021 EuMA.
Keywords
- CFAR
- cognitive radar
- radar detection
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Instrumentation