In filtering an noisy radar image, we can encounter the distortion overlapping with the desired information in the time–frequency. This is especially true when filtering noise in a radar or SAR image as such there is smearing in the image with the classical discrete Fourier Transform. That is there is chirps of much magnitudes overlapping with one another to where the radar image appears smeared. To compensate for this quandry, we propose a novel application of Discrete Fractional Fourier Transform in in Euclidean space that ascertains optimum angle of rotation in time-frequency domain to isolate the noise from rest of signal. Co-sponsored by: Wright-Patt Multi-Intelligence Development Consortium (WPMDC), The DOD & DOE Communities Speaker(s): Ernest Mitchell Agenda: In filtering an noisy radar image, we can encounter the distortion overlapping with the desired information in the time–frequency. This is especially true when filtering noise in a radar or SAR image as such there is smearing in the image with the classical discrete Fourier Transform. That is there is chirps of much magnitudes overlapping with one another to where the radar image appears smeared. To compensate for this quandry, we propose a novel application of Discrete Fractional Fourier Transform in in Euclidean space that ascertains optimum angle of rotation in time-frequency domain to isolate the noise from rest of signal. Virtual: https://events.vtools.ieee.org/m/374724