Blind recognition of OFDM signals based on cyclostationary signal analysis

Abstract

Growth in telecommunication world leads to an increase in the importance of efficient usage of frequency spectrum. Increasing number of subscribers and their demands force network operators to use the frequency bands as efficiently as possible. It is necessary to detect and prevent the interference of secondary or unauthorized frequency band occupations. Cyclostationary signal analysis is widely used for detection of interference signals. In this paper, cyclostationary characteristics have been derived for OFDM signals. The associated spectral correlation density function has been computed by using FFT accumulation method. This analysis can be used for blind recognition of OFDM based interference signals in presence of other interference sources.