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一种最小频移键控信号中心频率的盲估计算法

A Blind Estimation Algorithm of Center Frequency for Minimum Shift Keying Signal
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摘要 笔者提出了一种基于相位微分的MSK信号中心频率盲估计算法。该算法具有计算量较低、对先验知识要求较少等优点,是在没有任何先验信息的条件下对采样所得数据进行相位展开,从而得到采样信号的连续相位,通过对得到的相位进行微分处理获得两个载波频率,再通过获取的大量瞬时频率平均得到两个载波频率的平均值,对求得的两个平均载波频率进行平均得到信号的中心频率。 A blind estimation algorithm of center frequency of MSK signal based on phase differentiation is proposed. The algorithm expands the phase of the sampled data without any prior information, and then obtains the continuous phase of the sampled signal. The two carrier frequencies of the signal are obtained by differentiating the obtained phase. A large number of instantaneous frequencies are averaged to get the average of two carrier frequencies, and the center frequency of the signals are obtained by averaging the two average carrier frequencies. The algorithm has the advantages of low computational complexity and less prior knowledge requirements.
作者 董英英 Dong Yingying(Wuhan Vocational College of Software and Engineering,Wuhan Hubei 430205,China)
出处 《信息与电脑》 2018年第19期81-82,共2页 Information & Computer
基金 武汉市高教处产学研课题"传感器信号长距离传输系统的研发设计"(项目编号:CXY201417)
关键词 最小移频键控信号 中心频率 连续相位 盲估计 MSK center frequency continuous phase blind estimation
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