新型抗噪声不确定度谱分段对消频谱感知算法

doi:10.3969/j.issn.1001-2400.2013.06.004

Abstract

Abstract:

Since noise uncertainty seriously degrades the spectrum sensing performance of energy detection algorithms, a novel spectrum sensing algorithm based on the power spectral density segment cancellation (PSDSC) is proposed. This spectrum sensing algorithm, which can yield real-time and robust performance, makes use of the un-correlation of different power spectrum lines and takes the ratio of some PSD (power spectral density) lines to the residual PSD lines as the detection statistics. Theoretical analysis and simulation results show that the PSDSC algorithm can overcome the noise uncertainty problem effectively and that the decision threshold does not vary with the ambient noise level of secondary users. The PSDSC algorithm could offer a high probability of detection (P_d) at a low probability of the false alarm (P_fa) for a wide range of signal to noise ratios (SNR) and could be applied to spectrum monitoring and cognitive radio systems in the complex electromagnetic environment.

Key words: cognitive radio, spectrum sensing, power spectral density, noise uncertainty

CLC Number:

TN92

QI Peihan;SI Jiangbo;LI Zan;GAO Rui. Novel anti-noise-uncertainty spectrum sensing algorithm based on power spectral density segment cancellation[J].J4, 2013, 40(6): 19-24.

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Novel anti-noise-uncertainty spectrum sensing algorithm based on power spectral density segment cancellation

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