常规波束形成器仅限于利用信号的二阶统计特性。作者采用高阶累积量估计期望信号的导向矢量 (Steering Vector) ,实现了一种基于高阶累积量的自适应波束形成器 (HCAB)。该波束形成器利用信号的更高阶统计特性 ,减少了对阵列流型的依赖 ,具有较好的容差性 ,能自动跟踪信号。数值模拟实验表明该波束形成器工作良好。 Conventional beamformers are limited to the second-order statistical properties of the signal. The author uses a higher-order cumulant to estimate the Steering Vector of the desired signal and implements a high-order cumulant-based adaptive beamformer (HCAB). The beamformer uses the higher-order statistical properties of the signal to reduce the dependence on the array flow pattern, has better tolerance, and can automatically track the signal. Numerical simulation shows that the beamformer works well.