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Analysis of Spectral Sensing Using Angle-Time Cyclostationarity.
Pedro Souza1, Vinicius Souza2, Luiz F Silveira3
1Engineering and Technology Department, Federal Rural University of Semi-Arid, Pau dos Ferros 59900-000, RN, Brazil. pedro.souza@ufersa.edu.br.
Sensors (Basel, Switzerland)
|October 2, 2019
Summary
This study introduces a new spectral sensing method using angle-time cyclostationarity to detect signals with nonlinear phase variations. The approach improves primary user detection rates by 8 dB for binary phase shift keying (BPSK) signals.
Area of Science:
- Signal Processing
- Wireless Communications
- Spectral Sensing
Background:
- Nonlinear phase variation in signals poses challenges for detection.
- Existing methods may struggle with complex signal dynamics.
Purpose of the Study:
- To present a novel spectral sensing method for signals with nonlinear phase variation.
- To mitigate the effects of nonlinear phase variation using angle-time cyclostationarity theory.
Main Methods:
- Application of angle-time cyclostationarity theory.
- Signal transformation to address nonlinear phase variations.
- Sensing of binary phase shift keying (BPSK) signals.
- Comparison with traditional time cyclostationarity.
Main Results:
- Demonstrated efficiency of the proposed spectral sensing approach.
- Achieved improved performance in primary user detection.
- Enhanced detection rate by approximately 8 dB for BPSK signals.
Conclusions:
- The novel spectral sensing method effectively handles nonlinear phase variations.
- Angle-time cyclostationarity offers superior performance compared to time cyclostationarity for BPSK signal detection.
Keywords:
angle-time cyclostationaritycognitive radiocyclostationaritydynamic spectrum accessspectral sensingMore Related Videos
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