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非高斯色噪声条件下的最小二乘单音频率估计

Least square single-tone frequency estimator in non-Gaussian colored noise
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摘要 提出一种非高斯色噪声条件下的最小二乘单音频率估计算法,该算法首先将待估计单音频率搬移至零频附近,然后通过抽取滤波把噪声转换为高斯白噪声,最后引入相位差分最小二乘频率估计构成整个算法。该方法摆脱了FFT类算法频率分辨率的束缚,可以为自动调制识别等应用提供高精度的符号速率估计。 A least square frequency estimator of single-tone sinusoidal wave in non-Gaussian colored noise was proposed Firstly, the spectral line of symbol-rate-sinusoid to band nearby zero was transferred by a mixer. Then the transferred signal was filtered and decimated to get a new one in Gaussian white noise. Finally, fine estimation of signal baud was got by applying least square criterion to the phase difference of extracted sinusoid. Differing from other FFT-based algorithms, the new one overcomes the shortcoming of finite resolving capability in frequency and can provide more accurate estimation for automatic modulation recognition and other application.
作者 刘双平 闻翔 王志刚
机构地区 解放军信息工程大学信息工程学院 总参第
出处 《通信学报》 EI CSCD 北大核心 2008年第7期62-68,共7页 Journal on Communications
关键词 电子对抗 统计信号处理 最小二乘估计量 符号速率估计 非高斯色噪声 electronic countermeasure statistical signal processing least square estimator symbol rate estimation non-Gaussian colored noise
分类号 TN971.1 [电子电信—信号与信息处理]
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参考文献16

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二级参考文献24

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共引文献47

通信学报
2008年 第7期

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