| Parameter estimation of DSSS signals in non-cooperative communication system |
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| 作者单位： | Zhang Xiaoming（Communication Research Center, Harbin Inst. of Technology, Harbin 150001, P. R. China） ;Zhang Zhongzhao（Communication Research Center, Harbin Inst. of Technology, Harbin 150001, P. R. China） ; |
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| 摘 要： | A new adaptive estimator for direct sequence spread spectrum （DSSS） signals using fourth-order cumulant based adaptive method is considered. The general higher-order statistics may not be easily applied in signal processing with too complex computation. Based on the fourth-order cumulant with 1-D slices and adaptive filters, an efficient algorithm is proposed to solve the problem and is extended for nonstationary stochastic processes. In order to achieve the accurate parameter estimation of direct sequence spread spectrum （DSSS） signals, the fast step uses the modified fourth-order cumulant to reduce the computing complexity. While the second step employs an adaptive recursive system to estimate the power spectrum in the frequency domain. In the case of intercepted signals without large enough data samples, the estimator provides good performance in parameter estimation and white Gaussian noise suppression. Computer simulations are included to corroborate the theoretical development with different signal-to-noise ratio conditions and recursive coefficients.
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| 关 键 词： | 非协作通信系统 DSSS信号 四阶累积量 参数估计 自适应估计器 |
| 收稿时间： | 6 January 2006. |
Parameter estimation of DSSS signals in non-cooperative communication system |
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| Zhang Xiaoming,Zhang Zhongzhao. Parameter estimation of DSSS signals in non-cooperative communication system[J]. Journal of Systems Engineering and Electronics, 2007, 18(1): 14-21. DOI: 10.1016/S1004-4132(07)60043-7 |
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| Authors: | Zhang Xiaoming Zhang Zhongzhao |
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| Affiliation: | Communication Research Center, Harbin Inst. of Technology, Harbin 150001, P. R. China |
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| Abstract: | A new adaptive estimator for direct sequence spread spectrum (DSSS) signals using fourth-order cumulant based adaptive method is considered. The general higher-order statistics may not be easily applied in signal processing with too complex computation. Based on the fourth-order cumulant with 1-D slices and adaptive filters, an efficient algorithm is proposed to solve the problem and is extended for nonstationary stochastic processes. In order to achieve the accurate parameter estimation of direct sequence spread spectrum (DSSS) signals, the first step uses the modified fourth-order cumulant to reduce the computing complexity. While the second step employs an adaptive recursive system to estimate the power spectrum in the frequency domain. In the case of intercepted signals without large enough data samples, the estimator provides good performance in parameter estimation and white Gaussian noise suppression. Computer simulations are included to corroborate the theoretical development with different signal-to-noise ratio conditions and recursive coefficients. |
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| Keywords: | Four order cumulant Parameter estimation Adaptive estimator DSSS signal |
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