TY - GEN
T1 - Multiple subspace matching pursuit for spectrum sensing
AU - Kim, Wonjun
AU - Kim, Jinhong
AU - Park, Daeyoung
AU - Shim, Byonghyo
N1 - Funding Information:
This work was supported by Institute for Information and communications Technology Promotion(llTP) grant funded by the Korea government(MSIP) (No.B0126-16-1017, Spectrum Sensing and Future Radio Communication Platforms) and the National Research Foundation of Korea (NRF) grant funded b y the Korean government(MSIP) (2016RIA2B3015576).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - 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.
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.
KW - Spectrum sensing
KW - false alarm
KW - miss detection
KW - multiple measurement vector (MMV)
KW - spectrum utilization
UR - http://www.scopus.com/inward/record.url?scp=85023758809&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2017.7952826
DO - 10.1109/ICASSP.2017.7952826
M3 - Conference contribution
AN - SCOPUS:85023758809
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3594
EP - 3598
BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Y2 - 5 March 2017 through 9 March 2017
ER -