The invention discloses an uplink sensing iterative optimization method based on a cellular-
free system, which is used for solving the problems that the sensing precision depends on the communication
demodulation quality and the communication performance is limited by the sensing result in an ISAC
system, and is suitable for future 6G scenes of large-scale terminal connection and high-precision sensing cooperation. The method comprises the following steps: constructing a multi-
signal collaborative sensing module, fusing
pilot frequency initial sensing and
data signal enhanced sensing, and extracting target parameters; constructing a
dynamic channel reconstruction module, and mapping a sensing result into
channel state information required by communication; and constructing a robust
data demodulation module, recovering communication data by using channel information, and feeding back a
demodulation error to correct a sensing result. The above modules form a closed-loop feedback mechanism, and the sensing precision and the communication reliability are gradually improved in the
iteration process. Compared with the prior art, the method can effectively reduce the
bit error rate and improve the sensing positioning precision, has the advantages of low cost, high accuracy and the like, and has wide practical application value and
engineering popularization prospect.