Spectrum Sensing Schemes for Static Primary User Signal under Awgn and Rayleigh Fading Channels
نویسندگان
چکیده
This paper taught the performance of the proposed sensing models, namely, constant false alarm ratedynamic waveform detector (CFAR-DWD) are categorized as dynamic threshold (DT), two-stage (TS), and adaptive two-stage (ATS) detection for accurately detecting of the static-primary user (PU) signals, where the state of the PU signal not change during the sensing duration. Whereby it is carried out by deriving a closed-form expressions for the average detection probability for the proposed models over AWGN and Rayleigh fading channels under low signal-to-noise ratio (SNR) environments. In addition, complete mathematical analysis for the normalized throughput and average channel capacity of the secondary network are developed over AWGN and Rayleigh fading channels to demonstrate the impact of the opportunistic spectrum access. Comparison based on simulation was performed of the detection performance and the normalized throughput among the proposed CFAR-DWD, CFAR-DED and conventional schemes. The simulation results demonstrate that the proposed CFAR-DWD can achieve a precise detection performance significantly outperformed that of the CFAR-DED and conventional schemes. Furthermore, there is a significant impact on the detection performance of the CFAR-DWD and CFAR-DED models by Rayleigh fading, and the impact of Rayleigh fading gets clearer when reduces to (0.01) and reaches up to (0.9), which will lead to poor spectrum usage.
منابع مشابه
Spectrum Sensing Schemes for Dynamic Primary User Signal Under AWGN and Rayleigh Fading Channels
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