Title :
Signal detection algorithm for noise radar
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;
Conference_Titel :
Radar Conference, 2004. EURAD. First European
Conference_Location :
Amsterdam, The Netherlands
Print_ISBN :
1-58053-993-9
