A Topology Optimization Algorithm for RF Receiver Interference Suppression Circuits Based on the Fusion of Specialist Experiences and Genetic Algorithm

This paper presents an innovative topology optimization algorithm specifically tailored for the notch filtering technology based RF receiver interference suppression circuits. The primary objective of this algorithm is to achieve adaptive suppression of interference, which can vary in quantity, frequency, and power levels. The proposed algorithm is grounded in the fusion of specialist experiences from the field of RF receiver circuit design and the genetic algorithm framework. It establishes a mapping mechanism that translates the circuit topology into the genetic encoding scheme utilized by the genetic algorithm. Subsequently, the rules of the genetic selection, crossover, and mutation operations within the genetic algorithm are meticulously designed to improve the efficiency of random search in the process of the circuit topology optimization. Proceed to the next step, the algorithm leverages the specialist experiences accumulated in the design of interference suppression circuits to refine the genetic encoding and the fitness evaluation function of the genetic algorithm, which has the dual benefit of significantly reducing the search space for potential solutions and effectively eliminating those solutions that are deemed unreasonable based on the principles and constraints of circuit design. Numerical simulations are performed, and the simulation results demonstrate that, in comparison to traditional algorithms, the proposed algorithm exhibits a remarkable improvement in both the robustness and efficiency of the topology optimization process for interference suppression circuits that rely on notch filtering technology.