自适应波束形成器可以根据接收信号自适应地调整权矢量，增强期望信号，并有效抑制干扰。在实际环境中，由于波达角估计、阵列校准等误差因素的存在，导致传统自适应波束形成算法性能严重下降，因此，如何提高自适应波束形成算法的鲁棒性是一个重要的研究问题。本文对鲁棒自适应波束形成算法进行研究，对算法进行仿真、分析和比较，总结出各算法的性能优缺点，最后对鲁棒自适应波束形成算法的发展趋势提出自己的几点见解及展望。

The data-dependent robust adaptive beamformer can adaptively select the weight vector according to the received signal to enhance the desired signal and suppress the interferences effectively.In effect, performance of traditional adaptive beamforming algorithms is degraded dramatically by the error factors such as direction of arrival (DOA) estimation, array calibration and so on.Therefore an important research subject is how to improve the robustness of adaptive beamforming algorithms.In this paper, the robust adaptive beamforming algorithms are introduced,simulated,analyzed and compared with each other.The simulation results showed the advantages and disadvantages of each algorithm.The future development trend of the robust adaptive beamforming algorithms is presented in the end.