A Nonlinearity Mitigation Method for a Broadband RF Front-End in a Sensor Based on Best Delay Searching

Area of Science:

• Electrical Engineering
• Wireless Communications
• Signal Processing

Background:

• Cognitive radio wireless sensor networks (CR-WSNs) are crucial for dynamic spectrum access.
• Nonlinear distortion in the radio frequency (RF) front-end degrades CR-WSN sensing performance.
• Existing methods often overlook the combined effects of nonlinear and group delay distortions.

Purpose of the Study:

• To address the challenge of nonlinear distortion in CR-WSN spectrum sensing.
• To investigate the joint impact of nonlinear and non-constant group delay distortions.
• To propose an effective nonlinearity mitigation architecture.

Main Methods:

• A novel nonlinearity mitigation architecture based on best delay searching is proposed.
• The joint effect of nonlinear and group delay distortions is analyzed.
• Verification experiments using simulated and real-world signals were conducted.

Main Results:

• The proposed best delay searching method significantly alleviates nonlinear distortion.
• Improved spurious-free dynamic range (SFDR) was observed.
• Experimental results confirm enhanced spectrum sensing accuracy and reliability.

Conclusions:

• The best delay searching approach effectively mitigates RF front-end nonlinearities in CR-WSNs.
• This method enhances the overall performance and dependability of spectrum sensing.
• The findings contribute to more robust cognitive radio systems.