The invention discloses a
mobile phone antenna rapid
impedance matching optimization method based on a
genetic algorithm, and the method comprises the following steps: S1, obtaining an initial parameter of a target antenna, constructing a multi-dimensional parameter
space model, and mapping the multi-dimensional parameter
space model into a parameter matrix; s2, defining a multi-band
time sequence matching function, dynamically distributing matching weights according to time periods and use frequencies, and optimizing a band matching effect; s3, generating an initial solution set by using a
quantum bit superposition state, expanding a solution space through
quantum heuristic mutation operation, and setting a
time sequence weight; s4, in the generation and evaluation solution set, finely adjusting the high-fitness solution by using a
quantum bit
phase adjustment mechanism to meet the key
frequency band matching requirement; s5, adjusting matching parameters in real
time based on a progressive environment feedback mechanism; s6, verifying parameter stability through a
frequency band switching
simulation test; and S7, applying the optimized parameters to the target antenna to realize adaptive
impedance matching. According to the invention, the matching stability and dynamic adaptability of the antenna in multi-band switching are improved.