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

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Ataee Mohammad Ali; Khodadadi Hamid Reza

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Journal Paper

Paper Information

Journal: JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS Year:2021 | Volume:18 | Issue:3 Page(s): 73-88

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Information Journal Paper

Title

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

Author(s)

Ataee Mohammad Ali | Khodadadi Hamid Reza | Issue Writer Certificate

Keywords

Cognitive Radio

Spectral Sensors

Energy Detector

Spectral Holes

Eigenvalues

Covariance Matrix

Abstract

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.

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APA: Copy

Ataee, Mohammad Ali, & Khodadadi, Hamid Reza. (2021). Detailed Detection of MME Detector Based on Covariance Matrix for Total-Blind and Non-cooperative Spectroum sensing to Improve OFDM Telecommunication Link. JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS, 18(3 ), 73-88. SID. https://sid.ir/paper/966188/en

Vancouver: Copy

Ataee Mohammad Ali, Khodadadi Hamid Reza. Detailed Detection of MME Detector Based on Covariance Matrix for Total-Blind and Non-cooperative Spectroum sensing to Improve OFDM Telecommunication Link. JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS[Internet]. 2021;18(3 ):73-88. Available from: https://sid.ir/paper/966188/en

IEEE: Copy

Mohammad Ali Ataee, and Hamid Reza Khodadadi, “Detailed Detection of MME Detector Based on Covariance Matrix for Total-Blind and Non-cooperative Spectroum sensing to Improve OFDM Telecommunication Link,” JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS, vol. 18, no. 3 , pp. 73–88, 2021, [Online]. Available: https://sid.ir/paper/966188/en

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