Radar Emitter Identification Based on Bispectrum
Nan Li · Journal of Beijing Union University · 2012
With respect to radar emitter identification in Electronic Intelligence System under the dense and complex electro-magnetic environment,a new identification approach to radar emitter based on bispectrum analysis and potential function is proposed.Firstly,radar signals were tested by Hinich method,and the signals' possession of the properties of non-linearity is found.Then diagonal slice features of bispectrum which adapts to process radar non-linearity signals are extracted,and principal analysis is utilized to extract low-dimensional feature vectors with low complexity from a large amount of training sample features.Moreover,emitter attribute parameters significant to identification are merged into the identification feature vector.Finally,radar emitter identification is completed with potential function classification method.Simulations results show that the method is not sensitive to noise.Identification rate of different modulated signals is 92.9%.This method provides a new approach to identify radar emitter for decision-makers.