Application of dynamic logic algorithm to analyze AFRL gotcha data

Abstract

In this paper, we apply Dynamic Logic algorithm (DL) directly to analyze AFRL Gotcha raw data, which are sampled in terms of chirp frequencies for each pulse. This approach has not been done in the existing literature because previously, there is no visual or conceptual interpretation how to detect ground moving targets directly from synthetic aperture radar (SAR) raw data. Using Gotcha raw data taken from the severe radar clutter environment, we have demonstrated that DL not only maintains its robustness in terms of detecting small ground moving targets but also provides the effectiveness to extract specific features such as shape, size, location (along the range swath), movement direction, and traveling speed for the desired target.