Title :
New CFAR processor independent of original noise distribution
Author :
Huadong, Meng ; Xiqin, Wang ; Yingning, Peng
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
Based on the fact that the result of noncoherent integration of the amplitudes of independent samples of noise is approximately identical to nonzero-mean Gaussian distribution, a Gaussian biparametric constant false alarm rate (GB-CFAR) processor is presented, which is a novel CFAR detector independent of original clutter plus noise distribution. Then the conclusion is presented that its detection performance relates only to the false alarm rate, the number of integration and the mean-to-standard-deviation ratio of original noise. Eliminating the mean of integrated noise amplitude during the detection process is equivalent to taking out partial noise energy, therefore, the detection performance of the GB-CFAR processor exceeds that of the traditional CA-CFAR (cell-averaging CFAR) processor
Keywords :
Gaussian distribution; radar clutter; radar detection; radar signal processing; CA-CFAR; GB-CFAR; Gaussian biparametric CFAR detector; MSDR; cell-averaging constant false-alarm rate processor; integrated noise amplitude; mean-to-standard-deviation ratio; noise sampling; noncoherent integration; nonzero mean Gaussian distribution; original clutter; original noise distribution; partial noise energy; radar detection; Amplitude estimation; Background noise; Detectors; Energy resolution; Gaussian distribution; Gaussian noise; Noise level; Performance analysis; Signal to noise ratio; Statistical distributions;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984706
