基于亚奈奎斯特采样的认知无线电架构

Dennis Wieruch, V. Pohl
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引用次数: 8

摘要

本文讨论了一种基于亚奈奎斯特采样方案的认知无线电结构。目前,模数转换器可以处理高达1GHz的宽带信号,并将其转换为数字基带。为了解决处理能力有限的问题,在数字域引入了多共集采样滤波器。因此,对于带宽高达1GHz的宽带信号,有可能拥有一个完全灵活的多带滤波器。特别地,该多波段接收机可以处理一组灵活的子波段,具有良好的数字信号处理能力和快速的自适应能力。
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A cognitive radio architecture based on sub-Nyquist sampling
In this paper we discuss a cognitive radio architecture based on sub-Nyquist sampling scheme. At present, analog-to-digital converters can process wide-band signals up to 1GHz and therefore convert it into the digital baseband. To deal with the limited processing power a multicoset sampling filter in the digital domain is introduced. Thus, it is possible to have a fully flexible multiband filter for a wide-band signal with up to 1GHz bandwidth. In particular, the multiband receiver can deal with a flexible set of sub-bands with fair digital signal processing power and fast adaption.
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