Identification of Highly Jittered Radar Emitters Signals based on Fuzzy Classification
Yee Ming Chen · IOSR Journal of Engineering · 2013
Emitter signals identification is one of the key procedures in signal processing of Electronic Intelligence (ELINT).Jitter is an unintentional form of modulation that can have a wide variety of sources.Timing-related data errors will occur if jitter is beyond acceptable limits.Designers need a fast and easy way to obtain a complete characterization of clock jitter in microprocessor controlled.To enhance the ability of emitter identification (EID) to meet the requirement of modern ELINT, a novel identification approach for radar emitter signals based on type-2 fuzzy classifier is presented in this paper.This work discusses the impact of unknown jitter sampling on signal estimation.Based on the ELINT feature extraction of radar emitter signals, the type-2 fuzzy classifier is applied to identification of highly jittered radar emitters effectively.Experiment results shows that the approach can achieve high accurate classification even at higher error deviation level, and has good characteristics of identification.