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Environment detection with Kalman filter for CFAR detectors
Seong Won Hong
,
Dong Seog Han
School of Electronics Engineering
Kyungpook National University
Research output
:
Contribution to conference
›
Paper
›
peer-review
1
Scopus citations
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Dive into the research topics of 'Environment detection with Kalman filter for CFAR detectors'. Together they form a unique fingerprint.
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Engineering
Constant False Alarm Rate
100%
Kalman Filter
100%
Detection Performance
25%
Detection Algorithm
25%
Radar Systems
25%