Abstract:The traditional IAM-based channel estimation algorithms in FBMC/OQAM systems have problems such as high pilot overhead and high computational complexity. This paper studies a new IAM preamble channel estimation algorithm, which uses a new three-column pilot structure to increase pilot power, and uses multiple iterations to obtain more accurate channel information to reconstruct adjacent signals. Inter-subcarrier and inter-symbol interference. Theoretical analysis and simulation results show that the iterative IAM preamble channel estimation algorithm can effectively improve the performance of traditional channel estimation methods while maintaining high transmission rate and reducing interference in the environment of the car's on-board channel and walking channel environment. Transmission rate and reduce the computational complexity.