论文信息 - Performance analysis of maximum likelihood CFAR detection for Gaussian mixture type clutter

Performance analysis of maximum likelihood CFAR detection for Gaussian mixture type clutter

In a previous work, we have proposed to use a generalized Gaussian Mixture (GM) distribution for modelling the sea clutter. In this work, we analyze the performance of the proposed method for the CFAR and non-CFAR cases. In order to evaluate the performance of the proposed method, we derive the probability of false alarm Pfa. The Cramer Rao Bound (CRB), which is used to predict the performance of a given system is also given.

Mehmet Ertugrul Çelebi | Ahmet H. Kayran | Faruk Sari | Nursen Sari

[1] H. Cramér. Mathematical methods of statistics , 1947 .

[2] Fulvio Gini,et al. A radar application of a modified Cramer-Rao bound: parameter estimation in non-Gaussian clutter , 1998, IEEE Trans. Signal Process..

[3] Hermann Rohling,et al. Radar CFAR Thresholding in Clutter and Multiple Target Situations , 1983, IEEE Transactions on Aerospace and Electronic Systems.

[4] Kushal K. Talukdar,et al. Estimation of the parameters of the Rice distribution , 1991 .

[5] Rafi Ravid,et al. Maximum-likelihood CFAR for Weibull background , 1992 .

[6] M. Barkat,et al. Automatic censoring CFAR detector based on ordered data variability for nonhomogeneous environments , 2005 .

[7] V. Anastassopoulos,et al. Optimal CFAR detection in Weibull clutter , 1995 .

[8] F. Soltani,et al. CFAR binary integration detection in nonhomogeneous partially correlated clutter , 1997 .

[9] Lamine Mili,et al. Fast maximum-likelihood sea clutter parameter learning from the output of the envelope detector , 2005, 2005 13th European Signal Processing Conference.

[10] N. Pulsone,et al. Analysis of an adaptive CFAR detector in non-Gaussian interference , 1999 .

[11] Simon Watts. The performance of cell-averaging CFAR systems in sea clutter , 2000, Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037].