Detailed Detection of MME Detector Based on Covariance Matrix for Total-Blind and Non-cooperative Spectroum sensing to Improve OFDM Telecommunication Link

Article Type:
Research/Original Article (دارای رتبه معتبر)

The spectral sensor provides one of the components of opportunistic access to frequency resources. These sensors must measure the ambient spectrum with high accuracy in a short time. It is important to use methods and algorithms that can be implemented in practice; therefore, the complexity of the calculations should be reduced as much as possible. Detection performance is hampered by issues such as shadow effects, blurring, and multi-directionally; therefore, to overcome these problems and the unavailability of information about the signals received by the primary users and the power level and noise of the received signals, methods such as using several antennas in the spectral sensor, resisting spectroscopic methods against indeterminate noise, are used. In this paper, different criteria for decision making and determining the appropriate threshold by extracting special values ​​of the covariance matrix are investigated. Also, by calculating a few moments from the detector to the maximum to minimum values ​​of the MME covariance matrix by the proposed standard GEV distribution, simulations are performed and the results are compared with the Tracy-Widom distribution. The results of the simulations with a limited number of 4 antennas indicate the probability of signal detection in SNR with -30dB, which has increased the accuracy by 3dB compared to the Tracy-Widom distribution. To evaluate the efficiency of this method for hardware execution, the results of the proposed algorithm have been reviewed and implemented by an FPGA array processor along with a processor with XILINX ARM architecture, which is called the systems embedded in the SOC chip.

Journal of Iranian Association of Electrical and Electronics Engineers, Volume:18 Issue: 3, 2021
73 to 88  
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