Signal Detection Based on Cyclic Autocorrelation under Noise Uncertainty

Chao Wang; Li Qiang Tian

doi:10.4028/www.scientific.net/AMM.336-338.1733

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 336-338Signal Detection Based on Cyclic Autocorrelation...

Signal Detection Based on Cyclic Autocorrelation under Noise Uncertainty

Abstract:

Signal detection is a key enabler of cognitive radio. This paper considers the detection signals in uncertain low SNR environments. We propose a feature detector based on cyclic autocorrelation function of signal. Compared with other feature detector based on cyclic spectral, the proposed detector need lower computational cost than computational cyclic spectrum. Similar radiometer detector,SNR wall also exists in noise power uncertainty model. Beyond this SNR wall robust detection is impossible.Detection performance including the SNR wall is proved.

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Periodical:

Applied Mechanics and Materials (Volumes 336-338)

Pages:

1733-1737

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.336-338.1733

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Online since:

July 2013

Authors:

Chao Wang, Li Qiang Tian

Keywords:

Cognitive Radio (CR), Noise Uncertainty, SNR Wall, Spectrum Sensing

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References

[1] Choi, J. and S. Yoo, Undetectable Primary User Transmissions in Cognitive Radio Networks. Communications Letters, 2013. 17(2): 277-280.

DOI: 10.1109/lcomm.2013.010313.121699

Google Scholar

[2] Tandra, R. and A. Sahai, SNR Walls for Signal Detection. Selected Topics in Signal Processing, IEEE Journal of, 2008. 2(1): pp.4-17.

DOI: 10.1109/jstsp.2007.914879

Google Scholar

[3] JIN Yan, JI Hong-bing, LUO Jun-hui, A Cyclic-Cumulant Based Method for DS-SS Signal Detection and Parameter Estimation. Acta Electronica Sinica, 2006, 34 (4) : 634-637.

DOI: 10.1109/mape.2005.1618081

Google Scholar

[4] HUANG Chun-lin, JIANGWen-li, ZHOU Yi-yu, Finite Multicycle Detector of LPI Phase-Coded Signals. Acta Electronica Sinica, 2002. 30(5): 916-918.

Google Scholar

[5] ZHANG Hao-ye, BAO Zhi-hua, ZHANG Sh-bing, Adaptive spectrum sensing algorithm based on cyclostationary spectrum energy. Journal on Communications , 2011. 32(11): 95-103.

Google Scholar

[6] Gardner, W.A., Signal interception: a unifying theoretical framework for feature detection. Communications, IEEE Transactions on, 1988. 36(8): pp.897-906.

DOI: 10.1109/26.3769

Google Scholar

[7] Gardner, W.A. and C.M. Spooner, Signal interception: performance advantages of cyclic-feature detectors. Communications, IEEE Transactions on, 1992. 40(1): pp.149-159.

DOI: 10.1109/26.126716

Google Scholar

[8] Gardner, W., Spectral Correlation of Modulated Signals: Part I-Analog Modulation. Communications , IEEE Transactions on, 1987. 35(6): pp.584-594.

DOI: 10.1109/tcom.1987.1096820

Google Scholar