Performance analysis of satellite payload architectures for mobile services

Wyatt-Millington, R; Sheriff, Ray E.; Hu, Yim Fun

doi:10.1109/taes.2007.357127

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…The results of power received by antenna were time averaged within each time division multiple access (TDMA) frame of 40 ms . Further normalization was carried out to compare the signals’ time domain patterns, which were collected under different conditions.…”

Section: Resultsmentioning

confidence: 99%

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Experimental detection of mobile satellite transmissions with cyclostationary features

Dimc

Baldini

Kandeepan

2014

Satell Commun Network

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SUMMARYOne 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.

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Section: Resultsmentioning

confidence: 99%

“…The extraction of cyclostationary signature from the received π /4‐QPSK signal was based on the known GMR‐1 uplink channel parameters ; however, the approach is suitable for the short signal observation times and does not require any frequency or phase synchronization .…”

Section: Detection Techniquesmentioning

confidence: 99%