Multiple subspace matching pursuit for spectrum sensing

Wonjun Kim; Jinhong Kim; Daeyoung Park; Byonghyo Shim

doi:10.1109/ICASSP.2017.7952826

Multiple subspace matching pursuit for spectrum sensing

Wonjun Kim, Jinhong Kim, Daeyoung Park, Byonghyo Shim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Spectrum sensing is used to perceive the spectral environment over a wide frequency band. The multiple measurement vector (MMV) model can be applied to the spectrum sensing scenario since it enables jointly sparse signal recovery. In this paper, a novel spectrum sensing algorithm, referred to as multiple subspace matching pursuit (MSMP), is proposed to reduce the miss detection and false alarm events in the spectrum sensing. Numerical simulations demonstrate that the proposed algorithm shows the outstanding recovery performance with the reduction of the incorrect spectrum decisions.

Original language	English
Title of host publication	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3594-3598
Number of pages	5
ISBN (Electronic)	9781509041176
DOIs	https://doi.org/10.1109/ICASSP.2017.7952826
Publication status	Published - 2017 Jun 16
Externally published	Yes
Event	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States Duration: 2017 Mar 5 → 2017 Mar 9

Other

Other	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Country	United States
City	New Orleans
Period	17/3/5 → 17/3/9

Keywords

false alarm
miss detection
multiple measurement vector (MMV)
Spectrum sensing
spectrum utilization

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

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Multiple subspace matching pursuit for spectrum sensing. / Kim, Wonjun; Kim, Jinhong; Park, Daeyoung; Shim, Byonghyo.

2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3594-3598 7952826.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, W, Kim, J, Park, D & Shim, B 2017, Multiple subspace matching pursuit for spectrum sensing. in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings., 7952826, Institute of Electrical and Electronics Engineers Inc., pp. 3594-3598, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, New Orleans, United States, 17/3/5. https://doi.org/10.1109/ICASSP.2017.7952826

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AB - Spectrum sensing is used to perceive the spectral environment over a wide frequency band. The multiple measurement vector (MMV) model can be applied to the spectrum sensing scenario since it enables jointly sparse signal recovery. In this paper, a novel spectrum sensing algorithm, referred to as multiple subspace matching pursuit (MSMP), is proposed to reduce the miss detection and false alarm events in the spectrum sensing. Numerical simulations demonstrate that the proposed algorithm shows the outstanding recovery performance with the reduction of the incorrect spectrum decisions.

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Y2 - 5 March 2017 through 9 March 2017

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Multiple subspace matching pursuit for spectrum sensing

Abstract

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Keywords

ASJC Scopus subject areas

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