Radiation source identification method and device based on bispectrum three-dimensional image texture features

The invention relates to a radiation source identification method and device based on bispectrum three-dimensional image texture features. The method comprises the following steps: acquiring sample data of different radiation source signals and calculating bispectrum of signals to obtain bispectrum three-dimensional images; for bispectral three-dimensional images, extracting texture features by agray level co-occurrence matrix; for texture features, using a support vector machine to classify and identify the emitter. The invention avoids the problems of high characteristic dimension and lossof integral bispectrum part classification information and the like existing in adopting bispectrum alone. The steady-state signal RF fingerprint in individual identification of an emitter is extracted, sample information is fully utilized, the efficiency, application range and robustness of classifier training and recognition are effectively improved, and the advantages under different conditionssuch as noise immunity, sm