An Efficient Non-iterative Sub-Nyquist Sampling Wideband Spectrum Sensing Approach

被引：2

作者：

Ma, Hui ^{[1
,2
]}

Zhou, Leilei ^{[1
]}

Li, Baoqing ^{[1
]}

Chen, Jiehao ^{[1
,2
]}

Yuan, Xiaobing ^{[1
]}

机构：

[1] Shanghai Inst Microsyst & Informat Technol, Shanghai, Peoples R China

[2] Univ Chinese Acad Sci, Beijing, Peoples R China

来源：

ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS | 2023年

关键词：

Sub-Nyquist Sampling; Wideband Spectrum Sensing; Modulated Wideband Converter; MUSIC;

D O I：

10.1109/ICC45041.2023.10278662

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The sub-Nyquist sampling technique offers the possibility of wideband spectrum sensing using portable devices. Therefore, it becomes more urgent and important to improve the hardware and computational efficiency of existing sparse recovery algorithms. In this paper, we propose an improved non-iterative joint support set recovery algorithm based on the MUSIC criterion for Modulated Wideband Converter (MWC) sub-Nyquist sampling front-ends. Through subspace analysis, we find that the MUSIC-based algorithm has the potential to reduce hardware requirements. Moreover, simulations show that the proposed improved MUSIC algorithm has comparable performance to the iterative SOMP in coarse spectrum sensing applications.

引用

页码：535 / 540

页数：6

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