Performance assessment of CFAR processors in Pearson-distributed clutter

Performance assessment of CFAR processors in Pearson-distributed clutter

An analytical study on the performance of three existing classes of constant false alarm rate (CFAR) detectors operating in heavy tailed distributed data is presented. In particular, we study the performance of the cell averaging, order statistics, and p-percent truncated mean CFAR processors when t...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems Vol. 36; no. 4; pp. 1377 - 1386
Main Authors: Tsakalides, P., Trinic, F., Nikias, C.L.
Format: Journal Article
Language:English
Published: New York IEEE 01-10-2000
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Aircraft components
Background noise
Clutter
Detectors
Electronic systems
Frequency estimation
Mathematical analysis
Probability
Processors
Radar detection
Random variables
Receivers
Shape measurement
Statistical distributions
Statistics
Working environment noise
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Summary:An analytical study on the performance of three existing classes of constant false alarm rate (CFAR) detectors operating in heavy tailed distributed data is presented. In particular, we study the performance of the cell averaging, order statistics, and p-percent truncated mean CFAR processors when the output measurements of the square-law detector can be modeled as positive alpha-stable (P/spl alpha/S) random variables with a shape parameter (characteristic exponent) equal to 0.5. We derive the exact expressions for the detection and false alarm probabilities of the detectors, and compare their performance by means of their corresponding receiver operating characteristics.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9251
1557-9603
DOI:10.1109/7.892685