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학술지 OFDM Signal Detection Based on Auto-Correlation and Kurtosis
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Quan Qi Niu, Jin Young Kim, Asmatullah Chaudhry, So Hee Min, Seung Ho Choi, 김형중, 김창주
Archives des Sciences, v.65 no.11, pp.420-437
Societe de Physique et d'Histoire Naturelle de Geneve
The spectrum sensing problem has augmented new scenarios with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, we present a novel technique to sense and blindly detect OFDM signal based on auto-correlation and kurtosis. We carryout performance analysis of the proposed approach at various channel conditions and effect of increase in sample length of the sensed signal. Further, threshold value to decide the existence of OFDM signal is calculated. In addition, for 100 % detection rate, we perform an analysis of various pilot allocation strategies in OFDM signal and consequently its effect on detector performance. Detector performance improves further by using frequency spaced - all time (combo-pattern) pilot allocation in OFDM signal by 1dB to 3dB as compared with lattice and block type pilot allocation strategies. Experimental results show that the proposed approach can be successfully used to detect OFDM signal blindly in cognitive radio with 0 % false alarm rate.
Auto-correlation, Cognitive radio, Kurtosis, OFDM Signal detection
KSP 제안 키워드
Auto-Correlation, Block type, Challenging issues, Cognitive Radio System, False Alarm Rate, Novel technique, OFDM signal, Opportunistic spectrum access, Performance analysis, Pilot allocation, Sample length