Radar Signal Classification Based on Bayesian Optimized Support-vector Machine

Abstract Radar uses the scattering of electromagnetic waves to identify target coordinates and provide detection information. It plays a vital role in modern production military affairs. How classify recognize radar signals is one main problems current researches. With emergence various new radars, demand for high accuracy classification technology gradually increasing. Furthermore, traditional signal methods cannot achieve good results. Aiming at low poor performance methods, this paper proposes based on Bayesian Optimized Support Vector Machines. The principle method analyzed, simulation data sets verify theory. Moreover, proposed was compared with SVM, increased by 10.71%.