动态单支非均匀取样器

S. Traore, Babar Aziz, Daniel Le Guennec
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引用次数: 7

摘要

研究了稀疏多频带信号有效采样方案的设计问题。基于以往关于周期性非均匀采样(Multi-coset)的研究成果和压缩感知(CS)的最新进展,我们提出了一种新的采样方案——动态单分支非均匀采样器(DSB-NUS)。我们的方案使用非均匀频谱感知技术估计光谱支持度,以最小化平均采样率,从而减少样本数量和能量消耗。在本文中,我们通过仿真结果表明,与现有的基于多共集的采样器相比,我们提出的采样器在采样率和能耗方面都具有优越的性能。此外,我们表明我们提出的采样器不受硬件电路的不灵活性的限制,并且易于重新配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Single Branch Non-Uniform Sampler
We consider the problem of designing an effective sampling scheme for sparse multi-band signals. Based on previous results on periodic non-uniform sampling (Multi-coset) and recent advances in Compressive Sensing (CS), we propose a new sampling scheme, the Dynamic Single Branch Non-uniform Sampler (DSB-NUS). Our scheme estimates the spectral support using non-uniform spectrum sensing technique to minimize the average sampling rate, thereby reducing the number of samples as well as energy consumption. In this paper, we show through simulation results that compared to existing multi-coset based samplers, our proposed sampler provides superior performance, both in terms of sampling rate and energy consumption. Moreover, we show that our proposed sampler is not constrained by the inflexibility of harware circuitry and is easily reconfigurable.
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