| Asymptotic Analysis of Estimated Cyclic Cross-Correlation Function Between Stationary and Cyclostationary Processes |
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| 作者姓名： | 黄知涛 王炜华 周一宇 姜文利 |
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| 作者单位： | Huang Zhitao，Wang Weihua，Zhou Yiyu & Jiang Wenli School of Electronic Science and Engineering，National University of Defense Technology，Changsha 410073，P.R.China |
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| 摘 要： | The cyclic cross-correlation between a stationary process and a cyclostationary process at cycle frequency α(≠ 0)is identically zero under an ideal condition, which indicates that a cyclic cross-correlation method performs much better than the conventional cross-correlation method in suppressing the stationary noise or interference. But unfortunately, the cyclic cross-correlation will not really approach zero due to the limited data length in some real conditions. In this paper,
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Asymptotic Analysis of Estimated Cyclic Cross-Correlation Function Between Stationary and Cyclostationary Processes |
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| Huang Zhitao,Wang Weihua,Zhou Yiyu & Jiang Wenli School of Electronic Science and Engineering,National University of Defense Technology,Changsha ,P.R.China.Asymptotic Analysis of Estimated Cyclic Cross-Correlation Function Between Stationary and Cyclostationary Processes[J].Journal of Systems Engineering and Electronics,2003,14(3). |
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| Authors: | Huang Zhitao Wang Weihua Zhou Yiyu & Jiang Wenli School of Electronic Science and Engineering National University of Defense Technology Changsha PRChina |
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| Institution: | School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, P. R. China |
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| Abstract: | The cyclic cross-correlation between a stationary process and a cyclostationary process at cycle frequency α( ≠ 0)is identically zero under an ideal condition, which indicates that a cyclic cross-correlation method performs much better than the conventional cross-correlation method in suppressing the stationary noise or interference. But unfortunately, the cyclic cross-correlation will not really approach zero due to the limited data length in some real conditions. In this paper,the quantitative relation between the data length and the estimated cyclic cross-correlation is deduced, and some useful conclusions are drawn, which are proven by some computer simulations. The conclusion in this paper is really useful for the practical application of cyclostationary signal processing. |
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| Keywords: | Cyclostationarity Cyclic cross-correlation Convergence analysis |
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