Radio Identification Algorithm Based on High Order Spectrum Analysis of Radio Steady-State

In this paper, we discuss the problem of the identification of radio operating in the steady state. We finish the mathematical model of the radio operating in the steady state, analyze the lack of existing bispectrum characteristics extraction algorithm and the reasons. We propose the improved identification algorithm based on the classic rectangular integral bispectrum algorithm. The mathematical deduction show that this algorithm applies to any order of high order spectral characteristics extraction algorithm. The experiment with measured data has verified the validity and reliability of the new algorithm. Contrary to classic bispectrum identification algorithm and continuous wavelet transform identification algorithm, the identification rate increase from 90% to 98%. Furthermore, the calculation is greatly reduced at the same identification rate.