Filtering interpolators for frame differencing signal processors

Interpolation error contributes to clutter leakage through a frame differencing signal processor, especially for highly structured scenes. For low sampling rates, interpolation error can be reduced by as much as an order of magnitude by applying a spectral filter to the unshifted frame that matches the filtering effect of applying the interpolator to the frame that is shifted. The signature reduction penalty for point targets is rarely as large as a factor of two, leading to substantial improvements signal-to-clutter ratios when interpolation error is the dominant source of clutter. Parameterized families of local interpolators (polynomial and trigonometric) that can be adjusted to the particular target/clutter/noise combination of interest are presented