In the European satellite broadcasting specifications, the symbol rate and the carrier frequency are not regulated. Furthermore, the first generation format DVB-S does not have any control signals. In a practical environment, the received signal condition is not stable due to the imperfect reception environment, i.e., unterminated receiver ports, cheap indoor wiring cables etc. These issues prevent correct detection of the satellite signals. For this reason, the conventional signal detection method uses brute force search for detecting the received signal's cyclostationarity, which is an extremely time-consuming approach. A coarse estimation method of the carrier frequency and the bandwidth was proposed by us based on the power spectrum. We extend this method to create a new method for detecting satellite broadcasting signals, which can significantly reduce the search range. In other words, the proposed method can detect the signals in a relatively short time. In this paper, the proposed method is applied to signals received in an actual environment. Our analysis shows that the proposed method can effectively reduce the detection time at almost a same detection performance.
Hiroyuki KAMATA
Tokyo Institute of Technology
Gia Khanh TRAN
Tokyo Institute of Technology
Kei SAKAGUCHI
Tokyo Institute of Technology
Kiyomichi ARAKI
Tokyo Institute of Technology
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Hiroyuki KAMATA, Gia Khanh TRAN, Kei SAKAGUCHI, Kiyomichi ARAKI, "Practical Implementation of Spectrum Sensing and Signal Detection for Satellite Broadcasting Systems" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 8, pp. 1894-1901, August 2016, doi: 10.1587/transcom.2015EBP3448.
Abstract: In the European satellite broadcasting specifications, the symbol rate and the carrier frequency are not regulated. Furthermore, the first generation format DVB-S does not have any control signals. In a practical environment, the received signal condition is not stable due to the imperfect reception environment, i.e., unterminated receiver ports, cheap indoor wiring cables etc. These issues prevent correct detection of the satellite signals. For this reason, the conventional signal detection method uses brute force search for detecting the received signal's cyclostationarity, which is an extremely time-consuming approach. A coarse estimation method of the carrier frequency and the bandwidth was proposed by us based on the power spectrum. We extend this method to create a new method for detecting satellite broadcasting signals, which can significantly reduce the search range. In other words, the proposed method can detect the signals in a relatively short time. In this paper, the proposed method is applied to signals received in an actual environment. Our analysis shows that the proposed method can effectively reduce the detection time at almost a same detection performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3448/_p
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@ARTICLE{e99-b_8_1894,
author={Hiroyuki KAMATA, Gia Khanh TRAN, Kei SAKAGUCHI, Kiyomichi ARAKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Practical Implementation of Spectrum Sensing and Signal Detection for Satellite Broadcasting Systems},
year={2016},
volume={E99-B},
number={8},
pages={1894-1901},
abstract={In the European satellite broadcasting specifications, the symbol rate and the carrier frequency are not regulated. Furthermore, the first generation format DVB-S does not have any control signals. In a practical environment, the received signal condition is not stable due to the imperfect reception environment, i.e., unterminated receiver ports, cheap indoor wiring cables etc. These issues prevent correct detection of the satellite signals. For this reason, the conventional signal detection method uses brute force search for detecting the received signal's cyclostationarity, which is an extremely time-consuming approach. A coarse estimation method of the carrier frequency and the bandwidth was proposed by us based on the power spectrum. We extend this method to create a new method for detecting satellite broadcasting signals, which can significantly reduce the search range. In other words, the proposed method can detect the signals in a relatively short time. In this paper, the proposed method is applied to signals received in an actual environment. Our analysis shows that the proposed method can effectively reduce the detection time at almost a same detection performance.},
keywords={},
doi={10.1587/transcom.2015EBP3448},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Practical Implementation of Spectrum Sensing and Signal Detection for Satellite Broadcasting Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1894
EP - 1901
AU - Hiroyuki KAMATA
AU - Gia Khanh TRAN
AU - Kei SAKAGUCHI
AU - Kiyomichi ARAKI
PY - 2016
DO - 10.1587/transcom.2015EBP3448
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2016
AB - In the European satellite broadcasting specifications, the symbol rate and the carrier frequency are not regulated. Furthermore, the first generation format DVB-S does not have any control signals. In a practical environment, the received signal condition is not stable due to the imperfect reception environment, i.e., unterminated receiver ports, cheap indoor wiring cables etc. These issues prevent correct detection of the satellite signals. For this reason, the conventional signal detection method uses brute force search for detecting the received signal's cyclostationarity, which is an extremely time-consuming approach. A coarse estimation method of the carrier frequency and the bandwidth was proposed by us based on the power spectrum. We extend this method to create a new method for detecting satellite broadcasting signals, which can significantly reduce the search range. In other words, the proposed method can detect the signals in a relatively short time. In this paper, the proposed method is applied to signals received in an actual environment. Our analysis shows that the proposed method can effectively reduce the detection time at almost a same detection performance.
ER -