The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O esquema de detecção baseado na técnica de teste de razão de verossimilhança generalizada (GLRT) tem atraído muito interesse de pesquisa na área de rádios cognitivos (CR). Embora suas vantagens potenciais na detecção de sinal primário correlacionado tenham sido ilustradas em trabalhos anteriores, nenhuma análise teórica dos efeitos positivos da correlação apareceu na literatura. Nesta carta, derivamos as probabilidades teóricas de falso alarme e detecção do detector GLRT. A análise teórica mostra que, na região de baixa relação sinal-ruído (SNR), o desempenho do detector pode ser melhorado explorando as altas correlações entre as amostras de sinais primários. As conclusões da análise são verificadas pelos resultados da simulação numérica.
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Xi YANG, Shengliang PENG , Pengcheng ZHU, Hongyang CHEN, Xiuying CAO, "Effect of Correlations on the Performance of GLRT Detector in Cognitive Radios" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 4, pp. 1089-1093, April 2011, doi: 10.1587/transcom.E94.B.1089.
Abstract: The sensing scheme based on the generalized likelihood ratio test (GLRT) technique has attracted a lot of research interest in the field of cognitive radios (CR). Although its potential advantages in detecting correlated primary signal have been illustrated in prior work, no theoretical analysis of the positive effects of the correlation has appeared in the literature. In this letter, we derive the theoretical false-alarm and detection probabilities of GLRT detector. The theoretical analysis shows that, in the low signal-to-noise ratio (SNR) region, the detector's performance can be improved by exploiting the high correlations between the primary signal samples. The conclusions of the analysis are verified by numerical simulation results.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.1089/_p
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@ARTICLE{e94-b_4_1089,
author={Xi YANG, Shengliang PENG , Pengcheng ZHU, Hongyang CHEN, Xiuying CAO, },
journal={IEICE TRANSACTIONS on Communications},
title={Effect of Correlations on the Performance of GLRT Detector in Cognitive Radios},
year={2011},
volume={E94-B},
number={4},
pages={1089-1093},
abstract={The sensing scheme based on the generalized likelihood ratio test (GLRT) technique has attracted a lot of research interest in the field of cognitive radios (CR). Although its potential advantages in detecting correlated primary signal have been illustrated in prior work, no theoretical analysis of the positive effects of the correlation has appeared in the literature. In this letter, we derive the theoretical false-alarm and detection probabilities of GLRT detector. The theoretical analysis shows that, in the low signal-to-noise ratio (SNR) region, the detector's performance can be improved by exploiting the high correlations between the primary signal samples. The conclusions of the analysis are verified by numerical simulation results.},
keywords={},
doi={10.1587/transcom.E94.B.1089},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Effect of Correlations on the Performance of GLRT Detector in Cognitive Radios
T2 - IEICE TRANSACTIONS on Communications
SP - 1089
EP - 1093
AU - Xi YANG
AU - Shengliang PENG
AU - Pengcheng ZHU
AU - Hongyang CHEN
AU - Xiuying CAO
PY - 2011
DO - 10.1587/transcom.E94.B.1089
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2011
AB - The sensing scheme based on the generalized likelihood ratio test (GLRT) technique has attracted a lot of research interest in the field of cognitive radios (CR). Although its potential advantages in detecting correlated primary signal have been illustrated in prior work, no theoretical analysis of the positive effects of the correlation has appeared in the literature. In this letter, we derive the theoretical false-alarm and detection probabilities of GLRT detector. The theoretical analysis shows that, in the low signal-to-noise ratio (SNR) region, the detector's performance can be improved by exploiting the high correlations between the primary signal samples. The conclusions of the analysis are verified by numerical simulation results.
ER -