DocumentCode
3004130
Title
Radar signal detection algorithms using nonparametric estimates of noise distribution functions
Author
Sinitsyn, R. ; Prokopenko, I.
Author_Institution
Kiev Int. Univ. of Civil Aviation, Ukraine
Volume
2
fYear
2000
fDate
2000
Firstpage
615
Abstract
The new nonparametric algorithms of signal detection, based on Chentsov and Parzen estimates of a noise density function have been surveyed. The algorithms can be used for detection of signals on a set noise and reflections from an underlying surface, clouds, sea etc. The use of these estimates provides stability of the false alarm probability and high detection performance. The effectiveness of algorithms is researched by a Monte-Carlo method
Keywords
Monte Carlo methods; electromagnetic wave reflection; nonparametric statistics; probability; radar detection; Chentsov estimate; Monte-Carlo method; Parzen estimate; clouds; false alarm probability stability; noise density function; noise distribution functions; nonparametric estimates; performance; radar signal detection; sea; surface reflections; Acoustic reflection; Distribution functions; Noise reduction; Probability; Radar detection; Signal detection; Signal synthesis; Stability; Statistical distributions; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwaves, Radar and Wireless Communications. 2000. MIKON-2000. 13th International Conference on
Conference_Location
Wroclaw
Print_ISBN
83-906662-3-5
Type
conf
DOI
10.1109/MIKON.2000.914009
Filename
914009
Link To Document