基于分数低阶矩的矢量圆阵反卷积方位估计方法OA

To mitigate the performance degradation of direction-of-arrival(DOA)estimation for weak targets under strong impulsive noise in polar under-ice environments,a fractional low-order moment-based deconvolution beam-forming(FLOM-DVBF)algorithm is proposed for vector circular arrays.Fractional low-order moments are uti-lized in place of conventional second-order statistics to suppress α-stable impulsive noise,and deconvolution beam-forming is incorporated under independent pressure-velocity processing to enable robust high-resolution DOA esti-mation with shift-invariant beam patterns.The effect of the FLOM parameter on estimation performance is ana-lyzed,and practical guidelines for parameter selection are provided.Simulations demonstrate that,under low gen-eralized signal-to-noise ratio conditions,the proposed method achieves superior performance in terms of spatial resolution,root-mean-square error,and weak-target detectability compared with several representative FLOM-based DOA algorithms.Field experimental results from under-ice measurements further validate the effectiveness and engineering feasibility of the proposed approach in real impulsive noise environments,suggesting its potential for long-term passive acoustic monitoring in polar regions.