Flower pollination algorithm-based I/Q phase imbalance compensation strategy.

Area of Science:

• Electrical Engineering
• Signal Processing
• Receiver Systems

Background:

• Wideband receiver systems face challenges in compensating in-phase/quadrature (I/Q) phase mismatch, particularly with time delay deviation (TDD) between I/Q channels.
• Traditional compensation methods are often insufficient for complex phase imbalances in modern receiver designs.

Purpose of the Study:

• To propose a comprehensive model for I/Q phase imbalance that accounts for TDD in wideband receiver systems.
• To develop an effective compensation strategy using a metaheuristic optimization algorithm.

Main Methods:

• A full-scale I/Q phase imbalance model is proposed, dividing phase mismatch into linear phase (LP) and nonlinear phase components.
• Each component is compensated separately using dedicated compensation modules.
• The compensation module design is framed as a constrained nonlinear optimization problem, solved using the flower pollination algorithm (FPA).

Main Results:

• Contrast simulations demonstrate the proposed method's efficiency compared to traditional linear phase elimination techniques.
• The FPA-based approach shows superior compensation accuracy, stability, runtime, and convergence performance against other metaheuristic algorithms (ABC, BA, DE).
• Practical validation on an actual platform confirms significant image rejection ratio improvement.

Conclusions:

• The proposed full-scale I/Q phase imbalance model effectively addresses TDD challenges in wideband receivers.
• The FPA is identified as a highly effective optimizer for compensating both linear and nonlinear phase mismatches.
• The practical validation confirms the robustness and efficiency of the proposed compensation structure and optimization method.