OVERCOMING THE SNR-WALL BY AUTOCORRELATION BASED SENSING OF OFDM SIGNAL

[ 30 Nov 2019 | vol. 12 | no.11 | pp. 11-20]

About Authors:

Sukanta Mondal1, Sandip Karar2,Partha Banerjee3, Arindam Biswas4* and Anup Kumar Bhattacharya4
-1,4Dept of ECE, NIT, Durgapur, India
-2Institute of Radio Physics and Electronics, University of Calcutta, India
-3Academy of Technology, Hooghly, West Bengal, India
-4School of Mines and Metallurgy, Kazi Nazrul University, Asansol, India

Abstract:

In this paper we propose a method to overcome the SNR-wall for the detection of OFDM signal by exploiting the autocorrelation property of the cyclic prefix in multipath fading channel. Required SNR for signal detection at a given number of observation samples for a fixed false alarm probability and detection probability has been found out. Our result shows that there is about 6 dB advantage for the autocorrelation based detector over conventional energy detector for noise uncertainty parameter (U) equals to 3 with 〖10〗^4signal samples. Analytical results have been verified with simulation and close agreement has been found.

Keywords:

Auto-correlation based detection, cyclic prefix, noise uncertainty, SNR-wall

 

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