Title :
Improved Variable Index constant false alarm rate radar processors
Author :
Ün, Yasar Can ; Üner, Kani Mucahit
Abstract :
In the cases when the statistical distribution of range return samples are not known, constant false alarm rate (CFAR) processors can be used. Cell Averaging (CA) CFAR radar processors which have the best performance in Gaussian homogeneous environments, exhibits performance degradation in the presence of an interfering target or in regions of abrupt change in the backround clutter power. The Greatest of (GO) CFAR radar processors are designed to control the false alarm rate, during the clutter power transition in the reference window (non-homogeneous clutter environment). The Smallest of (SO) CFAR radar processors improve detection performance when interfering targets exist in the environment but are unable to prevent excessive false alarm in non-homogeneous environments. Variable Index (VI) CFAR processors employs a composite approach based on CA-CFAR, SO-CFAR, GO-CFAR. Enhanced VI-CFAR (EVI-CFAR) radar processors proposed in this paper, shows performance improvement in different non-homogeneous environments when compared with VI-CFAR.
Keywords :
Gaussian distribution; radar clutter; radar signal processing; Gaussian homogeneous environment; cell averaging; clutter power transition; constant false alarm rate processor; enhanced variable index constant false alarm rate radar processor; nonhomogeneous clutter environment; statistical distribution;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
Conference_Location :
Diyarbakir
Print_ISBN :
978-1-4244-9672-3
DOI :
10.1109/SIU.2010.5652287