To increase low efficiency of handling high-speed data in existing adaptive filter algorithms, an least mean squarse(LMS) adaptive filter algorithm based on parallel technology and pipeline is proposed. The proposed algorithm accelerates data processing speed to improve the speed of weight coefficient computing significantly, and reduces the critical path to improve the system working clock effectively. In the experiment based on FPGA, for the LMS adaptive filter based on 4-channel parallel structure and 4-stage pipelines, its data processing rate increases by eight times, and the power consumption can be reduced to 16%, with the same rate of data processing. It can thus realize the real-time LMS adaptive filtering process of high-speed or hyper-speed data stream.