Adaptive Sub-Nyquist Spectrum Sensing for Ultra-Wideband Communication Systems †

被引：1

作者：

Lu, Yong ^{[1
]}

Lv, Shaohe ^{[1
]}

Wang, Xiaodong ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sci & Technol Parallel & Distributed Proc Lab, Changsha 410073, Hunan, Peoples R China

来源：

SYMMETRY-BASEL | 2019年 / 11卷 / 03期

基金：

美国国家科学基金会;

关键词：

ultra-wideband spectrum sensing; energy detection; cognitive radio; sub-Nyquist sensing; Chinese remainder theorem;

D O I：

10.3390/sym11030342

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

With the ever-increasing demand for high-speed wireless data transmission, ultra-wideband spectrum sensing is critical to support the cognitive communication over an ultra-wide frequency band for ultra-wideband communication systems. However, it is challenging for the analog-to-digital converter design to fulfill the Nyquist rate for an ultra-wideband frequency band. Therefore, we explore the spectrum sensing mechanism based on the sub-Nyquist sampling and conduct extensive experiments to investigate the influence of sampling rate, bandwidth resolution and the signal-to-noise ratio on the accuracy of sub-Nyquist spectrum sensing. Afterward, an adaptive policy is proposed to determine the optimal sampling rate, and bandwidth resolution when the spectrum occupation or the strength of the existing signals is changed. The performance of the policy is verified by simulations.

引用

页数：18

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