The present application relates to a kind of movable radio monitoring equipment
layout scheduling and interference positioning method, belong to radio communication and spectrum monitoring technical field.This method constructs three-dimensional
electromagnetic environment model, realizes monitoring equipment dynamic scheduling by improving genetic-
reinforcement learning double
algorithm and seven-dimensional adaptive
fitness function;Adopt
wavelet transform denoising to combine CNN-LSTM
deep learning model to complete interference
signal identification and screening;Use six-source fusion weighted positioning
algorithm, cooperate scene adaptive propagation model, error correction and trajectory
smoothing to improve positioning accuracy;While supporting
data security transmission, multi-device collaborative operation and fault redundancy guarantee mechanism, form complete radio monitoring and interference positioning scheme.This method can adapt to complex geography and
electromagnetic environment, effectively reduce monitoring blind area, improve interference identification and positioning accuracy, ensure that monitoring operation is continuous and stable, and can be used in
spectrum management, public safety protection, emergency communication guarantee and other fields.