Abstract

In this paper a new blind energy detection spectrum-sensing method based on Discreet Wavelet Transform (DWT) is proposed. The method utilizes the DWT sub-band to collects the received energy. The proposed method recognizes the Primary User (PU) signal from noise only signal using the differences in the collected energy in first and last sub-bands of one level DWT. The simulation results show that the proposed method achieves improved detection probability especially at low Signal to Noise Ratio (SNR) compared to Conventional Energy Detector (CED). The results also show that the proposed method has shorter sensing time and less Energy Consumption (EC) compared to CED due to using small number of processed sample. Therefore, this method is suitable for Cognitive Radio (CR) applications where only limited energy like device battery is available.

Highlights

  • The massive demands on wireless communication equipment lead to a shortage in available spectrum resources

  • From this figure it can be seen that the proposed method outperforms Conventional Energy Detector (CED) method in detection probability especially at low Signal to Noise Ratio (SNR)

  • In this paper, a blind energy detection based on Discreet Wavelet Transform (DWT) for spectrum sensing in Cognitive Radio (CR) proposed

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Summary

INTRODUCTION

The massive demands on wireless communication equipment lead to a shortage in available spectrum resources. Spectrum sensing (SS) is the process which detect the presence of PU achieved by SU transceiver in order to utilize PU allocated spectrum. This allocated spectrum is called "hole" or "white space" The SS most be enough accurate to avoid PU interference [1],[2]. In MF the SS method, the SU receiver detects PU signal based on its specification by designing a filter compatible with the received signal type that gives maximum crosscorrelation. This method assumes that SU know the PU signal specification. It gives fast SS response but suffers from reduced accuracy (i. e. detection probability) in distinction between PU and noise signals at low SNR values [3],[5] In this paper a new ED based on Discreet Wavelet Transform (DWT) is proposed to improve the detection probability of the energy detector

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