DocumentCode
427396
Title
Signal detection algorithm for noise radar
Author
Sinitsyn, R.B.
fYear
2004
fDate
11-15 Oct. 2004
Firstpage
257
Lastpage
260
Abstract
Noise radars have wonderful properties thanks to the unique form of the ambiguity function. In this paper a nonparametric signal detection algorithm for noise radar is proposed. The new approach is based on a nonlinear data transform using a kernel estimate of a cumulative density function. The parametric variant of detecting procedure is also obtained. The detection algorithms were tested with the help of a physical model of the radar - the acoustic radar.
Keywords
Acoustic noise; Density functional theory; Interference; Kernel; Noise reduction; Probability; Radar applications; Radar detection; Signal detection; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2004. EURAD. First European
Conference_Location
Amsterdam, The Netherlands
Print_ISBN
1-58053-993-9
Type
conf
Filename
1396533
Link To Document