论文标题
对认知无线网络和子号格方法的宽带光谱传感算法的调查
A Survey of Wideband Spectrum Sensing Algorithms for Cognitive Radio Networks and Sub-Nyquist Approaches
论文作者
论文摘要
认知无线电（CR）网络提出了一种范式转变，目的是减轻对这种有限资源的需求日益增长的频谱稀缺问题。它促进动态频谱访问，异质设备之间的合作以及频谱共享。频谱传感是一个关键的认知无线电功能，它需要扫描RF光谱以揭示未充分利用的光谱带供机会使用。为了达到较高的数据速率，同时保持高质量的QoS，有效的宽带光谱传感程序至关重要，因为它们能够在宽频率范围（S）\方面达到光谱意识，并有效利用了可用的机会。但是，在严格的尺寸，重量，功率和成本要求（例如，对于便携式设备）下实施宽带感应带来了巨大的设计挑战，例如解决潜在的高度复杂性和数据获取率。本文对各种宽带光谱传感方法进行了调查，概述了它们的优势和局限性；特别注意利用子nyquist抽样技术的方法。简要解决了CR的其他方面，例如合作感应和性能要求。还提出了子频率传感方法之间的比较。
Cognitive Radio (CR) networks presents a paradigm shift aiming to alleviate the spectrum scarcity problem exasperated by the increasing demand on this limited resource. It promotes dynamic spectrum access, cooperation among heterogeneous devices, and spectrum sharing. Spectrum sensing is a key cognitive radio functionality, which entails scanning the RF spectrum to unveil underutilised spectral bands for opportunistic use. To achieve higher data rates while maintaining high quality of service QoS, effective wideband spectrum sensing routines are crucial due to their capability of achieving spectral awareness over wide frequency range(s)\ and efficiently harnessing the available opportunities. However, implementing wideband sensing under stringent size, weight, power and cost requirements (e.g., for portable devices) brings formidable design challenges such as addressing potential prohibitively high complexity and data acquisition rates. This article gives a survey of various wideband spectrum sensing approaches outlining their advantages and limitations; special attention is paid to approaches that utilise sub-Nyquist sampling techniques. Other aspects of CR such as cooperative sensing and performance requirements are briefly addressed. Comparison between sub-Nyquist sensing approaches is also presented.
