Parameter optimization in reconstruction of multiband signal from periodically non-uniform sampling

Li Tong, Xiang Zhang, Peiyang Yu, Lingyun Zhou
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Abstract

Periodically non-uniform sampling (PNS) is considered as an effective approach for multi-band signal sampling. Reconstruction of signal from PNS can be achieved without distortion under the assumption that the signal is perfectly band-limited. However, most signals in practice could not meet such requirement, thus the sampling parameters play an important role on the quality of reconstructed signal. In this paper, an optimization method of sampling parameter is proposed in the presence of non-ideality condition. The optimization method deals with time shifts of each sampling channel at fixed sampling rate and is based on minimizing the 2-norm of coefficients function of the reconstruction filters. Simulation results are provided to demonstrate the effectiveness of the proposed method.
周期性非均匀采样多波段信号重构中的参数优化
周期性非均匀采样(PNS)是一种有效的多波段信号采样方法。在假设信号是完全带限的情况下,从PNS重构信号可以实现无失真。然而,在实际应用中,大多数信号都不能满足这一要求,因此采样参数对重构信号的质量起着重要的作用。本文提出了一种非理想条件下采样参数的优化方法。该优化方法主要考虑各采样通道在固定采样率下的时移,并以最小化重构滤波器系数函数的2范数为基础。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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