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Cristina Despina-Stoian1,2, Roua Youssef1, Angela Digulescu2

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Summary
This summary is machine-generated.

Full-duplex (FD) communication requires effective self-interference cancellation (SIC). This study analyzes I/Q mixer imbalance in FD systems and proposes a widely-linear digital SIC approach for improved performance.

Keywords:
I/Q imbalancefull-duplex communicationsimage rejection ratioself-interferencesoftware-defined radiowidely-linear adaptive filter

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Area of Science:

  • Electrical Engineering
  • Telecommunications
  • Signal Processing

Background:

  • Full-duplex (FD) communication systems enhance spectral efficiency but face significant self-interference (SI).
  • Effective self-interference cancellation (SIC) is crucial for practical FD transceiver operation.
  • Nonlinear distortions from analog components, particularly I/Q mixer imbalance, complicate SI channel estimation.

Purpose of the Study:

  • To analyze the power of SI components under practical conditions in FD systems.
  • To propose and evaluate a widely-linear digital SIC approach addressing I/Q mixer imbalance.
  • To compare the performance of linear and widely-linear SIC techniques in an experimental FD setup.

Main Methods:

  • Analysis of SI component power, focusing on I/Q mixer imbalance effects.
  • Implementation of a widely-linear digital SIC algorithm to handle direct SI and its image component.
  • Experimental evaluation using a software-defined radio (SDR) based FD platform with GNU Radio.

Main Results:

  • Identified I/Q mixer imbalance as a significant contributor to SI power in practical FD systems.
  • Demonstrated that the widely-linear SIC approach effectively cancels both direct SI and its image component.
  • Experimental results validated the superior performance of widely-linear SIC over linear SIC, especially under varying image rejection ratios.

Conclusions:

  • Widely-linear digital SIC is a robust technique for mitigating self-interference caused by I/Q mixer imbalance in FD systems.
  • The experimental framework provides a valuable platform for studying and validating SIC techniques.
  • Further research can explore advanced SIC methods to enhance FD communication performance.