Analysis of Cyclostationary Noise Processes Using Spectral Correlation

Abstract:
A new approach for the analysis of cyclostationary noise is presented based on the theory of cyclic autocorrelation and on the cyclic spectrum. Usually, the cyclic spectrum is mainly applied in the field of spectrum sensing for the analysis of cyclostationary signals such as common digitally modulated signals as phase shift keying (PSK) or quadrature amplitude modulation (QAM). However, it is stated in this paper that the cyclic spectrum can also be employed to analyze cyclostationary noise in various scenarios. It turns out to be superior to conventional means. This is made clear showing its ability to separate two cyclostationary noise sources with different cycle frequencies. Furthermore, the analysis of amplitude noise and phase noise is discussed. Because of the results, this new approach for the examination of various kinds of cyclostationary noise processes is considered to be quite promising.