DocumentCode
1782326
Title
Compressive spectrum sensing algorithm based on robust detection criterion with ratio of residual matrix
Author
Hoiyoon Jung ; Jung-Sun Um ; Byung Jang Jeong ; Hyung Do Choi
Author_Institution
Electron. & Telecommun. Res. Inst., Daegu, South Korea
fYear
2014
fDate
8-11 July 2014
Firstpage
46
Lastpage
47
Abstract
In this paper, we propose a compressive spectrum sensing method robust against noise uncertainty. The proposed scheme utilizes relative ratio of residual matrix for signal detection. Simulation results verify that the proposed scheme provides reliable detection performance regardless of noise variance estimation error.
Keywords
compressed sensing; matrix algebra; radio spectrum management; signal detection; compressive spectrum sensing algorithm; compressive spectrum sensing method; noise uncertainty; noise variance estimation error; reliable detection performance; residual matrix; robust detection criterion; signal detection; Estimation error; Indexes; Noise; Robustness; Sensors; Simulation; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on
Conference_Location
Shanghai
Type
conf
DOI
10.1109/ICUFN.2014.6876746
Filename
6876746
Link To Document