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
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;
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on
Conference_Location :
Shanghai
DOI :
10.1109/ICUFN.2014.6876746
