The invention relates to the technical field of mobile telecommunication services such as new-generation mobile communication
base station equipment, new-generation mobile communication
core network and
access network construction, networking and the like, in particular to a 6G communication and sensing integration method for multi-dimensional
radio frequency characteristic intelligent analysis, which comprises the following steps of: S1, establishing a ground multi-antenna
base station, and collecting
radio frequency characteristics of a target; s2, establishing a self-adaptive
path loss model, and realizing
accurate estimation of a target distance by analyzing received
signal strength data; s3, estimating an
angle of arrival of the
target signal in combination with an improved MUSIC-ESPRIT fusion
algorithm based on the
radio frequency characteristics; s4, based on the frequency change information of the
target signal, estimating the distance position and the motion state of the target relative to the ground multi-antenna
base station according to a
Doppler frequency shift theory in combination with a
hybrid filtering architecture driven by
environmental perception; and S5, performing
information fusion of different levels on the distance position and the motion state obtained by
signal feature analysis to obtain a final target tracking result.