Multiantenna-Assisted Wideband Spectrum Sensing Based on Sub-Nyquist Sampling

Jilin Wang, Qing Li, Huiping Duan, Jun Fang, Zhi Ren, Hongbin Li

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We consider the problem of wideband spectrum sensing, where a multi-antenna secondary user (SU) attempts to identify the frequency locations of a number of single-antenna primary users (PUs)' transmissions that spread over a wide frequency band. To overcome the sampling rate bottleneck, we propose a new sub-Nyquist sampling architecture as well as a compressed power spectrum estimation method whose objective is to reconstruct the power spectrum of the transmitted signals from PUs. The proposed sub-Nyquist sampling scheme has a simple structure, and a power spectrum recovery analysis shows that the proposed method can achieve a significant sampling rate reduction, without imposing a sparse constraint on the frequency band under monitoring. Simulation results are presented to show the effectiveness of the proposed method.

Original languageEnglish
Article number9292941
Pages (from-to)795-799
Number of pages5
JournalIEEE Wireless Communications Letters
Volume10
Issue number4
DOIs
StatePublished - Apr 2021

Keywords

  • Wideband spectrum sensing
  • power spectrum estimation
  • sub-Nyquist sampling

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