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首页> 外文期刊>Instrumentation and Measurement, IEEE Transactions on >Carrier-frequency estimation based on the location of the spectra peak of a windowed sample of carrier plus noise
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Carrier-frequency estimation based on the location of the spectra peak of a windowed sample of carrier plus noise

机译:基于载波加噪声的窗口样本的频谱峰值位置的载波频率估计

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摘要

The frequency of an unmodulated (CW) carrier frequency transmission may be estimated by identifying the location of the peak value of the spectrum of a windowed sample of 7-seconds duration. This estimate will, in general, be somewhat in error, and the error will depend on the length and shape of the window and the signal-to-noise ratio at the observing receiver. This paper quantitatively evaluates the effect of window shape and length (leakage) as well as the effect of additive broad-band noise on the accuracy of this method of estimation. In addition, it compares the method with an optimum “least mean-squared error” technique. An interesting result is that neither elaborate “shaping” of the window, nor the use of the “least mean-squared” error method will have much advantage over the use of the spectral peak in a rectangularly windowed sample, unless the signal-to-in-band-noise ratio is of the order of 50 dB or better.
机译:未调制(CW)载波频率传输的频率可以通过识别持续时间为7秒的加窗样本的频谱峰值的位置来估计。通常,该估计会有些误差,并且误差将取决于窗口的长度和形状以及观察接收机处的信噪比。本文定量评估了窗口形状和长度(泄漏)的影响,以及附加宽带噪声对这种估算方法准确性的影响。此外,它将该方法与最佳“最小均方误差”技术进行了比较。一个有趣的结果是,除非对窗口进行信噪比测试,否则对窗口进行精心的“整形”或使用“最小均方”误差方法都不会比在矩形窗口的样本中使用频谱峰值具有更多优势。带内噪声比约为50 dB或更高。

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