Signal sorting by combining Bayesian method and Gibbs sampling strategy
Rui Li, Weixian Tan, Yaolong Qi, Pingping Huang · 2015
Radar signal sorting technology is critical in electronic warfare, and the level of sorting is an important indicator to measure the radar reconnaissance system. In this work, signals manipulated by the same source from multiple signal arrays with equal time interval were defined as signal module. We developed a novel approach combing Bayesian method and Gibbs sampling strategy to detect signal module. Simulation under various parameters and method comparison show the better performance of our method over conventional methods and the effectiveness of our method in sorting radar signal.