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近距离罗兰-C信号周期识别的数字化方法初探

A Digital Method for Cycle Identification of Short-distance Loran-C Signal
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摘要 对判断罗兰-C脉冲峰值的算法作了改进。对加有噪声的近距离罗兰- C脉冲仿真信号的采样值用改进的算法进行计算后,可识别信号周期并给出相位编码信息。对改进后的算法的有效性用MATLAB进行了验证,并用MODELSIM对改进的算法进行了仿真实现。结果表明:在一定的信噪比条件下,改进后的算法初步实现了对近距离罗兰-C信号周期识别的数字化,具有一定的实用性。 The algorithm to judge the peak-value of the Loran-C impulse signal is improved. The individual cycle of the sinulated short-distance Loran-C impulse signal with the noise is identified and the phase coding information is derived from the computation based on the sampling data of the simulated Loran- C impulse signal. The validity of the improved algorithm is verified with MATLAB and this algorithm is simulated with MODELSIM.The results indicate that the digital identification of the individual cycle of the short-distance Loran-C signal with a certain signal-to-noise ratio is realized preliminarily using the improved algorthm and this algorithm is practical.
出处 《时间频率学报》 CSCD 2005年第2期103-108,共6页 Journal of Time and Frequency
基金 国家自然科学基金资助课题(10443001)
关键词 峰值 信噪比 罗兰-C MATLAB MODELSIM peak value signal-to-noise rate I_oran-C MATLAB MODELSIM
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参考文献4

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