Type Identification and Parameters Blind Estimation of MC-CDMA Modulation Signal

ZHOU Yang; ZHANG Tianqi; QIAN Wenrui

doi:10.11999/JEIT170166

Volume 39 Issue 11

Nov. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(11): 2607-2614

ZHOU Yang, ZHANG Tianqi, QIAN Wenrui. Type Identification and Parameters Blind Estimation of MC-CDMA Modulation Signal[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2607-2614. doi: 10.11999/JEIT170166

Citation:

ZHOU Yang, ZHANG Tianqi, QIAN Wenrui. Type Identification and Parameters Blind Estimation of MC-CDMA Modulation Signal[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2607-2614. doi: 10.11999/JEIT170166

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Type Identification and Parameters Blind Estimation of MC-CDMA Modulation Signal

doi: 10.11999/JEIT170166

Funds:

The National Natural Science Foundation of China (61371164, 61275099, 61102131), The Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003), The Chongqing Distinguished Youth Foundation (CSTC2011jjjq40002)

Received Date: 2017-02-27
Rev Recd Date: 2017-07-07
Publish Date: 2017-11-19

Abstract

Abstract

The modified cyclic autocorrelation algorithm is proposed to estimate problems of the useful data period, entire symbol period, chip duration, and guard interval length in MC-CDMA signal. Firstly, the autocorrelation function of the received MC-CDMA signal is computed. Then, Fourier transformation and accumulation in frequency-domain are used. Finally, through detecting the interval of the peak pulses in different slices, parameters mentioned above can be estimated. In addition, a new method of estimating symbol period, the accumulative average method, is developed. By averaging amplitudes of the spectral lines in each column parallel to the delay axis, the symbol duration can be obtained. Cyclic autocorrelation expression of the MC-CDMA signal is derived theoretically, and it is proved that MC-CDMA signal with cyclic prefix has cyclostationary. The simulation results show that, the improved cyclic autocorrelation algorithm is effective in the low signal-to-noise cause.
- MC-CDMA signal,
- Cyclic autocorrelation function,
- Cyclic prefix; Symbol period,
- Orthogonal Frequency Division Multiplex (OFDM),

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References(24)

References

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