This paper deals with the exact detection analysis of the Ordered-Statistic(OS) processor along with OS Greatest Of(OSGO) and OS Smallest Of(OSSO) modified versions, for M postdetection integrated pulses when the operating environment is nonhomogeneous. Analytical results are presented in multiple-target case as well as in regions of clutter power transitions. The primary and the secondary interfering targets are assumed to be fluctuating in accordance with the SWII target fluctuation model. As the number of noncoherently integrated pulses increases, lower threshold values and consequently better detection performances are obtained in both homogeneous and multiple target background models. However, the false alarm rate performance of OSSO-CFAR(Constant False Alarm Rate) scheme at clutter edges is worsen with increasing the postdetection integrated pulses. As predicted, the OSGO-CFAR detector accommodates the presence of spurious targets in the reference window, given that their number is within its allo This paper deals with the exact detection analysis of the Ordered-Statistic (OS) processor along with OS Greatest Of (OSGO) and OS Smallest Of (OSSO) modified versions, for M postdetection integrated pulses when the operating environment is nonhomogeneous. Analytical results are The primary and the secondary interfering targets are assumed to be fluctuating in accordance with the SWII target fluctuation models. As the number of noncoherently integrated pulses increases, the lower threshold values ​​and Results better detection performances are obtained in both homogeneous and multiple target background models. However, the false alarm rate performance of OSSO-CFAR (Constant False Alarm Rate) scheme at clutter edges is worsen with increasing the postdetection integrated pulses. As predicted, the OSGO -CFAR detector accommodates the presence of spurious targets in the reference window, given that their number is within its allo