The invention discloses a
system and method for improving indoor positioning precision through an AI
large model, and relates to the technical field of
wireless communication. The method comprises the following steps of collecting multi-source
signal historical data, and performing data division on the preprocessed multi-source
signal historical data for making preparations for AI model training; dividing a target indoor space into a plurality of logic partitions,
numbering each logic partition and establishing a
coordinate mapping relation; continuously collecting corresponding key indexes in each logic partition, and generating an
environmental change index ECD according to the key indexes; the technical key points are as follows: a multi-layer
model architecture technical scheme is adopted, a mode of combining basic positioning service and accurate positioning in a complex environment is realized, the
service quality of most areas is ensured, a positioning result with higher precision can be provided when necessary, the effect of optimizing the
resource utilization efficiency is achieved, and the positioning accuracy is improved. The problem that a traditional
single model is poor in performance in a complex environment is solved.