Abstract: To address the issues of inter symbol interference and high congestion risk during the transmission of high-speed Doppler radar data, this study designed an iterative merge equalization algorithm. This article simulated the high-speed transmission process of Doppler radar data to determine that the transmission channel had fading and time-varying characteristics, and there were phenomena such as errors and congestion. Then, after installing the data transmission iteration merging equalizer, the starting conditions of the equalizer were determined based on the iterative estimation results of the transmission channel. After merging and reallocating transmission channel resources, compensation for inter symbol interference was achieved through filtering, and the balancing task of data transmission was completed through multiple iterations. The test results show that compared with the traditional equalization algorithm, after the application of the algorithm in this paper, the fading amount of Doppler radar high-speed data transmission is reduced by 0.7 GB, the received power equalization degree between channels is improved by 0.9, and the transmission congestion probability is reduced from 2.05% to 0.10%.