According to the weak resolution of small aperture high-order acoustic field sensors under actual multi-target interference conditions in marine environment, a broadband signal optimal detection based on the subset of high-order sound field domain post-processing method is proposed. This method utilizes the characteristic of typical noise fields that signals in different orders of the high-order sound field are decorrelation. The signal power and noise power within one beam are estimated through the subset of high-order acoustic signals with MVDR. An optimal beam domain detection filter based on the signal-to-noise ratio of each subband is constructed. This method is verified through multiple measured dataset on Qiandao Lake. The detection capability is improved by 2–7.5 dB compared with the original method, and the multi-target resolution capability under strong target interference is significantly improved.

针对小孔径传感器在实际多干扰目标条件下分辨能力弱、应用难的问题, 提出一种高阶声场分阶的宽带信号最优检测后处理方法。利用典型噪声场在高阶声场各阶信号不相关的特性, 通过分阶波束形成, 对波束内信号功率以及噪声功率进行估计, 根据各子带信噪比构建最优检测滤波器。通过千岛湖湖上实测数据验证, 该方法的检测性能可以在原有HOA-MVDR方法的基础上提高2~7.5 dB, 并且能够提高强目标干扰条件下的多目标分辨能力。