The present invention provides a method and
system for optimizing the parameters of a railway
transponder radio frequency circuit, which belongs to the field of
rail transit transponder equipment development and testing technology. It performs equivalent analysis on components in a high-frequency circuit, extracts key characteristic variables of the circuit, establishes a multi-objective optimization model of static
power consumption and circuit cost, and uses a genetic optimization
algorithm to optimize the parameters of the multi-objective optimization model. The present invention takes the construction of a multi-objective optimization function as a key starting point, and implements the entire process from
feature vector selection to parameter optimization output; it provides a clear way to reduce the
power consumption and circuit cost of existing
transponder circuits, so that the implementation of parameter optimization can adopt the idea of multi-objective optimization and data-driven, avoiding the limitation of
time cost; it is directly applicable to the existing transponder
radio frequency transmission circuit, effectively reducing the static
power consumption and circuit cost of the circuit, and is also applicable to the optimization of other parameters and objectives in the circuit.