Abstract: With the rapid development of array signal processing, direction of arrival (DOA) estimation and beamforming technology can accurately estimate the angle of incoming vaves of targets, providing technical support for application fields such as radar and communications. To address the issue of decreased signal measurement accuracy caused by excessive noise power in existing DOA estimation algorithms in time-varying environments, a novel DOA estimation method based on the idea of moving platform for stationary targets is proposed in the paper. In this method, the concept of beamforming pattern accumulation is introduced, and a linear DOA estimation model is established; moreover, a long-term time-varying DOA accurate estimation method based on fast Fourier transform is proposed to fine-tune the DOA, enhance the signal accumulation effect, and eliminate linear DOA variations. Firstly, a short-term DOA estimation result is obtained by direct beamforming algorithm. Then, the previous result is used for the compensation of the time-varying DOA variable of received signal over a long period of time. Finally, a more accurate DOA estimation is achieved. The simulation results show that the proposed algorithm effectively addresses the issues of measurement errors and accuracy in DOA estimation under different signal-to-noise ratios.