毫米波实时多千兆赫次奈奎斯特频谱传感系统

Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems Pub Date : 2019-10-07 DOI:10.1145/3349624.3356767

Zihang Song, Haoran Qi, Yue Gao

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引用次数: 12

摘要

介绍了一种在美国国家仪器公司毫米波软件定义无线电系统上实现的毫米波实时亚奈奎斯特宽带频谱传感系统。基于压缩感知理论和多集采样架构，该系统能够在28.5 $\textGHz $中心频率下实现3.072 $\textGHz $带宽信号的实时频谱感知。应用贝叶斯稀疏估计和数据抽取分别实现了动态频谱场景下的鲁棒频谱重建性能和实时处理能力。本文讨论了噪声损坏、频谱稀疏性对恢复性能的影响，并对两种低复杂度的稀疏贪婪恢复算法进行了评价。

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Real-time Multi-Gigahertz Sub-Nyquist Spectrum Sensing System for mmWave

A real-time sub-Nyquist wideband spectrum sensing system for millimeter wave (mmWave) implemented on National Instruments mmWave software-defined radio system is presented. Based on compressed sensing theory and multicoset sampling architecture, the system is capable of achieving real-time spectrum sensing of 3.072 $\textGHz $-bandwidth signal at the centre frequency of 28.5 $\textGHz $. Bayesian sparsity estimation and data decimation are applied to realize robust performance of spectrum reconstruction under dynamic spectrum scenarios and enable real-time processing, respectively. This paper presents and comments on the impact of noise corruption, spectrum sparsity on the recovery performance and evaluates two low-complexity sparse recovery greedy algorithms of interest.

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Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems

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