基于稀疏重构的机动拖曳线列阵空间谱估计

发布时间：2019-02-26 18:07

【摘要】：针对常规单拖曳线列阵声纳目标方位估计中存在的左右舷模糊问题,提出了一种联合多个波束快拍量测的空间谱稀疏重构估计方法。首先给出了拖曳线阵转向机动时的阵形递推估计方法,建立机动拖曳线列阵的接收信号模型;然后,利用拖曳线列阵转向机动引起的目标方位变化特征,从构造矩阵相关性角度分析实现拖曳线列阵空间谱无模糊重构的机理,构建了基于连续多个时刻波束快拍量测的稀疏重构模型。通过计算机仿真研究,对比分析了所提方法与常规波束形成方法的空间谱估计性能,结果表明所提方法对模糊目标的抑制比远大于目标信噪比,同时具有更好的角度分辨率,从而实现了拖曳线列阵全向空间谱估计。
[Abstract]:In order to solve the problem of port-starboard ambiguity in azimuth estimation of conventional single-towed linear array sonar targets, a spatial spectral sparse reconstruction estimation method based on multi-beam snapshot measurements is proposed. At first, the recursive estimation method of the array shape is given, and the receiving signal model of the towed linear array is established. Then, according to the change characteristics of target azimuth caused by steering maneuver of towed linear array, the mechanism of no fuzzy reconstruction of spatial spectrum of towed linear array is analyzed from the angle of constructing matrix correlation. A sparse reconstruction model based on continuous multi-time beam snapshot measurements is proposed. Through computer simulation, the spatial spectrum estimation performance of the proposed method and conventional beamforming method is compared and analyzed. The results show that the proposed method can suppress the fuzzy target much more than the signal-to-noise ratio of the target, and has better angular resolution at the same time. Thus, the omnidirectional spatial spectrum estimation of the towed linear array is realized.
【作者单位】：海军工程大学电子工程学院;空军预警学院空天预警装备系;
【基金】：大学科研发展基金(425517K175)资助课题
【分类号】：TB56

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