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Experimental detection of mobile satellite transmissions with cyclostationary features

By June 10, 2014 News No Comments

ABSTRACT

One of the important functions of cognitive radio (CR) technology is spectrum sensing. The implementation of an efficient spectrum sensing function can be quite challenging because of various factors such as multi-path fading, low signal-to-noise ratio of the radio communication services to be detected and the requirement to detect and analyze the signal in a short time. As a consequence, it is important to quantitatively assess the performance of spectrum sensing techniques in various scenarios. This paper investigates different digital signal processing techniques for spectrum sensing in the context of mobile satellite transmissions: power sensing, cyclostationary sensing, efficient cyclostationary sensing based on FFT accumulation method and strip spectral correlation algorithm. This paper presents experimental results on the cyclostationary properties of GSM Thuraya mobile satellite communications in various conditions both for the uplink and downlink channels. The receiver operating characteristics are computed, and the results are presented for different algorithms and different positions of the satellite terminals. The experimental results show that the cyclostationary-feature-based detection can be robust compared to energy-based technique for low signal-to-noise ratio levels. Copyright © 2014 John Wiley & Sons, Ltd.

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Different techniques for spectrum sensing in the context of mobile satellite transmissions were investigated: power sensing, cyclostationary sensing and efficient cyclostationary sensing based on FFT accumulation method and strip spectral correlation algorithm. The experimental results on the cyclostationary properties of GSM Thuraya mobile satellite communications in various conditions both for the uplink and downlink channels show that the sensing on the basis of cyclostationary features can be robust compared with energy-based technique for low signal to noise ratio levels.’

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