The invention relates to the technical field of
signal processing, and discloses an anti-interference electrically tunable wave trap operation control method and
system, and the method comprises the steps: collecting an input
signal of an adjustable wave trap group, and employing adaptive Kalman filtering to dynamically suppress strong
electromagnetic noise to construct a
reinforcement learning state vector, and generating an optimal action instruction of the tuning module by using the deep Q network
reinforcement learning model so as to control the tuning module to perform parameter adjustment on the adjustable wave trap group, and finally updating and adjusting the deep Q network
reinforcement learning model and the adaptive Kalman filtering based on an actual effect index. Therefore, the electrically tunable wave trap high-precision operation control method based on adaptive Kalman filtering and depth Q network depth
collaboration is constructed, the electrically tunable wave trap can be helped to stably maintain high-precision wave
trapping performance in a scene of complex dynamic interference and strong
noise superposition, and the performance of the electrically tunable wave trap is improved. And many limitations of the traditional scheme in the aspects of interference
adaptation, precision control, multi-
frequency coordination and stability are thoroughly solved.