A new multi-node cooperarive interference detection and recognition algorithm based on SVM

Support vector machine (SVM), as a machine learning method based on data, is a theory of machine learning´s law based on data in a limited number of data. We introduce the framework of multi-node cooperative interference detection and recognition algorithm, supply SVM to this field and realize cooperation among each node by transmitting interference signal´s feature parameters. Based on simulation result, this method makes it possible to improve system´s detection and recognition performance in the case of reducing cooperative detection and recognition´s cost.