A Fit-to-Sine based processing chain to handle multiple-target scenarios

The full coherent processing of non-equidistant sampled data has been the topic of many research activities. In this paper we propose a processing chain based on such an algorithm, the Fit-to-Sine function, which is able to handle multitarget and target/clutter radar signals. Starting from the computation of a least squares cost function in dependency of frequency, followed by a feature extraction method and the suppression of unwanted sidelobes, we conduct a simple noise/target distinction by utilizing basic fuzzy logic characteristics and operations. Finally we exemplify our processing chain and the achievable results on a real radar scenario with a target moving in strong clutter.