FPGA Implementation of Cyclostationary Feature Detector for Cognitive Radio OFDM Signals

2018 ◽  
Author(s):  
Mohamed Barakat ◽  
Waleed Saad ◽  
Mona Shokair
Keyword(s):  
Cognitive Radio ◽  
Fpga Implementation ◽  
Feature Detector ◽  
Ofdm Signals

FPGA implementation of autocorrelation-based feature detector for cognitive radio

2009 NORCHIP ◽  
2009 ◽  
Author(s):  
Kari Kokkinen ◽  
Vesa Turunen ◽  
Marko Kosunen ◽  
Sachin Chaudhari ◽  
Visa Koivunen ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Fpga Implementation ◽  
Feature Detector

scholarly journals Spectrum sensing in cognitive radio wireless networks for orthogonal freqnency division multiplexing in additive white Gaussian noise channel

2017 ◽  
Vol 1 (T4) ◽  
pp. 180-186
Author(s):  
Tri Minh Nguyen ◽  
Tu Thanh Nguyen ◽  
Phuong Huu Nguyen
Keyword(s):  
Cognitive Radio ◽  
Gaussian Noise ◽  
Orthogonal Frequency Division Multiplexing ◽  
Additive White Gaussian Noise ◽  
Sliding Window ◽  
White Gaussian Noise ◽  
Frequency Division ◽  
Low Snr ◽  
Primary Users ◽  
Ofdm Signals

Cognitive radio (CR) systems are one of the most interesting topics in recent years. They would enable more efficient use of the spectrum. The main problem of CR is how to dectect exactly the spectrum usage of primary users. There are many ways to do this, such as energy detector (ED), Axell’s detector, the sliding window detector, etc. Among them, cyclostationarity (CS) based dection methods attracted much attention because of their better results in low-SNR regimes. This paper will propose a method based on the autocorrelation property of orthogonal frequency division multiplexing (OFDM) signals in additive white Gaussian noise (AWGN).

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