TY - EJOUR
PY - 2024
DA - February
TI - Pseudo-Optimum CFAR Detectors in non-Gaussian Clutter
T2 - Majlesi Journal of Electrical Engineering
VL - 1
L1 - https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/pseudo-optimum-cfar-detectors-in-non-gaussian-clutter/
DO - 10.1234/mjee.v1i2.22
N2 - In this paper, the problem of signal detection based on suboptimum-constant false alarm rate (CFAR) detector, in the presence of a mixture of K-distributed clutter, is studied. In this case, a new suboptimum detector named generalized likelihood ratio test and maximum a posteriori (GLRT-MAP) is proposed and compared with generalized likelihood ratio test and linear quadratic (GLRT-LQ) suboptimum detector. The CFAR properties of the GLRT-MAP detector are investigated and compared with that of the GLRT-LQ detector. The simulation results show that the GLRT-MAP is a completely CFAR detector regardless of the clutter distribution and correlation in covariance matrix, whereas the GLRT-LQ is only CFAR detector regardless to clutter distribution. The performance analyses of the GLRT-MAP and GLRT-LQ are investigated by means of Monte Carlo simulation, and results are provided in results section.
IS - 2
PB - OICC Press
KW - Detection, GLRT-LQ, Glrt-MAP, CFAR. Pseudo-Optimum, non-Gaussian Clutter 
EN -