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Volume 40 Issue 2
Feb.  2018
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WANG Jun, YIN Jiajia, HUANG Fengying, CHEN Zhe, XU Yang. OFDM Symbol Duration Based Cyclostationary Spectrum Sensing Method[J]. Journal of Electronics & Information Technology, 2018, 40(2): 408-415. doi: 10.11999/JEIT170577
Citation: WANG Jun, YIN Jiajia, HUANG Fengying, CHEN Zhe, XU Yang. OFDM Symbol Duration Based Cyclostationary Spectrum Sensing Method[J]. Journal of Electronics & Information Technology, 2018, 40(2): 408-415. doi: 10.11999/JEIT170577

OFDM Symbol Duration Based Cyclostationary Spectrum Sensing Method

doi: 10.11999/JEIT170577
Funds:

The National Natural Science Foundation of China (61673116, 61301096), The Natural Science Foundation of Fujian Province (2018J01789)

  • Received Date: 2017-06-14
  • Rev Recd Date: 2017-11-23
  • Publish Date: 2018-02-19
  • This paper proposes a new OFDM symbol duration based cyclostationary spectrum sensing method. The method first estimates the cyclic autocorrelation function from every received OFDM symbol during its symbol period, then constructs the test statistic and the threshold by using multivariate statistical analysis, and finally gets the decision result by comparing the test statistic with the threshold. The method is nonparametric so that it is immune from noise uncertainty. Simulation results show that the method can significantly reduce the complexity at the cost of a little performance loss, compared with conventional cyclostationary spectrum sensing method. Moreover, this paper further proposes a multiple antenna based nonparametric linear weighted combination scheme. Simulation results also show that the performance of the proposed combination scheme is almost the same as that of conventional cyclostationary spectrum sensing method while the proposed combination scheme has the advantage of complexity by optimizing the nonparametric weights reasonably.
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