Slowly moving targets detection in backscatter radar data

A problem of slowly moving targets detection arises when the velocity of tracking target is insufficient for applied detection algorithm to make fast decision about moving target presence. This work proposes an unusual statistical approach for the problem solution: to synthesize a decision making rule using comparison of high standardized moments of backscatter radar data distribution (which assumedly includes some signal from moving target in it) with distribution of normal noise or conjectural clutter. The algorithm was compared with classical MTI (moving target indication) algorithm with over period compensation and proved itself as more effective for slowly moving targets detection.