短时同频等长信号频率估计的加权融合算法
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国家自然科学基金资助项目(61271449,61201450,60871098);重庆市自然科学基金资助项目(CSCT2012JJA1047,CSCT2012JJA0877,CSCT2011BA2015)


Weighted fusion algorithm for frequency estimation of the short signal with the same frequency and length
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    摘要:

    针对低信噪比条件下短时正弦信号的高精度频率估计问题,提出一种同频等长信号加权融合算法。首先,建立同频等长信号频谱模型,构造具有相位连续化特性和噪声对消特性的相位补偿矩阵;然后,利用相位补偿矩阵对同频等长信号频谱进行加权融合,使之基本达到与其总长度相等的相位连续信号频谱的分析效果;最后,谱峰搜索加权融合后的频谱,获得高精度的频率估计值。算法分析与仿真实验表明,与现有方法相比,本算法精度较高,计算量较小,抗噪性较强,普适性好,适用于任意类型的同频等长信号。

    Abstract:

    For high precise frequency estimation of the short sinusoid signal at low signal-to-noise ratio (SNR), a weighted fusion algorithm for frequency estimation of the short signal with the same frequency and length (SFL-Signal) is proposed. The spectrum model of SFL-Signal and the phase compensation matrix with phase coherent and noise cancellation are constructed. Secondly, the SFL-signal spectrum is weight-fused with the phase compensation matrix to obtain the result almost the same as that of the spectrum of the phase-coherent sinusoid signal. Consequently, high frequency estimation precision is obtained with spectral peak searching of the weight-fusion spectrum. Algorithm analysis and simulation results show that, compared with the existing methods,the proposed algorithm works better in term of precision, calculation complexity, noise immunity, and fits for any type of SFL-Signal.

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肖玮,涂亚庆,刘良兵,张海涛.短时同频等长信号频率估计的加权融合算法[J].重庆大学学报,2012,35(12):155-162.

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  • 在线发布日期: 2013-01-10
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