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水下高阶声场宽带信号最优检测后处理方法

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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.
An Optimal Post Processing Detection Method for Underwater Broadband Signals of High-Order Sound Field
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.

high-order sound field sensorbeamformingoptimal post processingtarget detection

王强、吴玺宏、潘悦、高山

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北京大学智能学院,北京 100871

杭州应用声学研究所,杭州 310012

高阶声场传感器 波束形成 最优后处理 目标探测

2024

北京大学学报(自然科学版)
北京大学

北京大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.785
ISSN:0479-8023
年,卷(期):2024.60(6)