DocumentCode :
2643571
Title :
Distribution losses for Weibull and lognormal clutter types
Author :
Thompson, Richard M.
Author_Institution :
Technology Service Corp., Silver Spring, MD, USA
Volume :
2
fYear :
2000
fDate :
2000
Abstract :
The calculation of the clutter-limited sensitivity of a surveillance radar relies on the power probability distribution of the clutter. With Weibull and lognormal clutter types, the power distributions take on a number forms via parameter settings relating to the prevailing environmental conditions. In order to maintain a constant rate of false target detections with a clutter background, the detection threshold must be adjusted to account for these particulars of the clutter distribution. The required change from a noise-based threshold to a clutter-based threshold may be expressed with the aid of a distribution loss for purposes of assessing the radar sensitivity. This paper provides a compact form for the distribution loss whenever the Weibull or lognormal distributions represent the clutter variation about the mean. While the form is an approximation, the efficiency it lends to sensitivity prediction may make it a desirable method of analysis
Keywords :
Weibull distribution; log normal distribution; radar clutter; radar detection; radar signal processing; search radar; Weibull clutter type; clutter-based threshold; clutter-limited sensitivity; constant rate; detection threshold; distribution loss; false target detections; gamma functions; inverse-Q functions; lognormal clutter type; loss model; noise-based threshold; parameter settings; power probability distribution; prevailing environmental conditions; radar sensitivity; sensitivity prediction; surveillance radar; Background noise; Noise figure; Power distribution; Probability distribution; Radar clutter; Radar detection; Silver; Springs; Surveillance; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference, 2000. Proceedings. DASC. The 19th
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-6395-7
Type :
conf
DOI :
10.1109/DASC.2000.884931
Filename :
884931
Link To Document :
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