针对恒模信号,将概率约束稳健算法与恒模算法相结合,提出一种新的稳健自适应波束形成算法.先将导向偏差分为高斯随机分布和未知分布2种场景,分别建立优化代价函数,并将该优化问题转化为二阶锥规划问题,运用内点法高效求解.然后对算法求解的全局最优性进行理论分析.在数值仿真部分,用所提算法与相关稳健算法作对比仿真,验证该算法的优越性和有效性. Aiming at the constant modulus signal, the robust probability constrained algorithm is combined with the constant modulus algorithm to propose a new robust adaptive beamforming algorithm. Firstly, the steering bias is divided into two scenarios: Gaussian random distribution and unknown distribution, and the optimal cost function , And the optimization problem is transformed into the second-order cone programming problem, which is solved efficiently by the interior point method. Then the global optimality of the algorithm is analyzed theoretically. In the numerical simulation part, the proposed algorithm is compared with the relevant robust algorithm , Verify the superiority and effectiveness of the algorithm.