Abstract
In cognitive radio system, the spectrum sensing has a major challenge in needing a sensing method, which has a high detection capability with reduced complexity. In this paper, a low-cost hybrid spectrum sensing method with an optimized detection performance based on energy and cyclostationary detectors is proposed. The method is designed such that at high signal-to-noise ratio SNR values, energy detector is used alone to perform the detection. At low SNR values, cyclostationary detector with reduced complexity may be employed to support the accurate detection. The complexity reduction is done in two ways: through reducing the number of sensing samples used in the autocorrelation process in the time domain and through using the Sliding Discrete Fourier Transform (SDFT) instead of the Fast Fourier Transform (FFT). To evaluate the performance, two versions of the proposed hybrid method are implemented, one with the FFT and the other with the SDFT. The proposed method is simulated for cooperative and non-cooperative scenarios and investigated under a multipath fading channel. Obtained results are evaluated by comparing them with other methods including: cyclostationary feature detection (CFD), energy detector and traditional hybrid. The simulation results show that the proposed method with the FFT and the SDFT successfully reduced the complexity by 20% and 40% respectively, when 60 sensing samples are used with an acceptable degradation in the detection performance. For instance, when Eb/N0 is 0 dB , the probability of the detection of Pd is decreased by 20 % and 10% by the proposed method with the FFT and the SDFT respectively, as compared with the hybrid method existing in the literature.
Highlights
Due to the expansion of remote gadgets and applications, the available electromagnetic radio range is becoming crowded
We proposed two methods to reduce the complexity of cyclostationary detectors based on Fast Fourier Transform (FFT) and Sliding Discrete Fourier Transform (SDFT) with an acceptable detection performance
The simulation results using MATLAB are obtained in Additive White Gaussian Noise (AWGN) and multipath fading channels in both cooperative and non-cooperative scenarios and the performance of the proposed methods are evaluated through comparing with the hybrid method in ref [4], traditional method of cyclostationary detector, and with the traditional method of an energy detector
Summary
Due to the expansion of remote gadgets and applications, the available electromagnetic radio range is becoming crowded. Acta Polytechnica property of a signal in its process It can work in a low SNR condition [4] but it has a high computational complexity since it requires a long sensing time [5]. We proposed two methods to reduce the complexity of cyclostationary detectors based on FFT and SDFT with an acceptable detection performance. The procedure of the proposed method is based on checking the received samples of the PU signal using the energy detection first. If it can detect the PU properly, there is no need to use a cyclostationary detector. The simulation results using MATLAB are obtained in AWGN and multipath fading channels in both cooperative and non-cooperative scenarios and the performance of the proposed methods are evaluated through comparing with the hybrid method in ref [4], traditional method of cyclostationary detector, and with the traditional method of an energy detector
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