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High-Resolution Frequency Estimation Using Generalized Coprime Sampling

机译:使用广义共产采样的高分辨率频率估计

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摘要

The coprime sampling scheme allows signal frequency estimation through two sub-Nyquist samplers where the down-sampling rates M and N are coprime integers. By considering the difference set of this pair of O(M + N) physical samples, O(MN) consecutive virtual samples can be generated. In this paper, a generalized coprime sampling technique is proposed by using O(M + pN) samples to generate O(pMN) virtual samples, where p is an integer argument. As such, the existing coprime sampling techniques are represented as a special case of a much broader and generalized scheme. The analytical expressions of the number of virtual samples, frequency resolution and the corresponding latency time are derived. The effectiveness of the proposed technique is verified using simulation results.
机译:协调程序采样方案允许通过两个子奈奎斯特采样器的信号频率估计,其中下采样率m和n是coprime整数。通过考虑该对O(M + N)物理样本的差异集,可以生成o(MN)连续的虚拟样本。在本文中,通过使用O(M + PN)样本来生成O(PMN)虚拟样本来提出广义的协商采样技术,其中P是整数参数。因此,现有的CopRime采样技术被表示为更广泛和广义方案的特殊情况。导出虚拟样本,频率分辨率和相应延迟时间的分析表达式。使用模拟结果验证所提出的技术的有效性。

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