Automatic Recognition Based on Spectral Preprocessing in Satellite Communication
Abstract
Based on the spectral characteristic, automatic modulation recognition of satellite communication signal was studied in this paper. Traditional spectral analysis was based on the assumption that mean and variance of background noise spectrum did not vary with frequency. However, in actual satellite communication environment, noise spectrum did not meet the hypothesis. This paper used signal preprocessing by sliding widow least square to weaken the influence of the noise. By analyzing the power spectrum, square spectrum and the forth spectrum of common used modulated signals, the offset ratio was extracted to detect the value of single frequency and a set of characteristic parameters were extracted to recognize signals in the satellite communication without any prior knowledge. Simulation result showed that the method had high practicability, owing to being more resolvable and steady which was not sensitive to the roll-off factor and modulation index of the digital signals. The improved method could also achieve recognition accuracy in the adaptive channel and had certain practical significance.
Keywords
information preprocessing technology; automatic modulation recognition; satellite communication
Publication Date
DOI
10.12783/dtetr/iect2016/3779
10.12783/dtetr/iect2016/3779
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