A Robust Spectrum Sensing Scheme for Large Antenna Array Based on Spatial Higher-Order Statistics

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel robust spectrum sensing method is proposed based on the higher-order statistics of signals received over a large antenna array. The proposed method formulates the test statistics by estimating multiple cumulants of the spatial samples, and in turn differentiates the primary signals from the Gaussian noise within a short sensing period. This work is an extension of [1] and enhances significantly its detection performance by utilizing the statistical information of more than one cumulant. In addition, it remains robust in the presence of unknown noise correlation that often exists in large antenna array.

Original languageEnglish
Title of host publication2019, 13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728121949
DOIs
Publication statusPublished - Dec 2019
Event13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Gold Coast, Australia
Duration: 16 Dec 201918 Dec 2019

Publication series

Name2019, 13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Proceedings

Conference

Conference13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019
Country/TerritoryAustralia
CityGold Coast
Period16/12/1918/12/19

Keywords

  • higher-order-statistics
  • multiple antenna
  • spectrum sensing

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