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多基阵联合的无源纯方位目标运动分析研究

Passive bearings-only target motion analysis based on association of multiple arrays

  • 摘要: 研究基于两声呐基阵的方位数据融合的目标运动分析方法,给出了伪线性处理、扩展卡尔曼滤波、最大似然估计等算法的模型,进行了仿真实验,比较和分析了仿真结果。计算结果表明,所给出的多基阵联合的无源纯方位目标运动分析方法,不仅克服了单基阵纯方位目标运动分析需要本舰机动的限制,而且提高了参数估计算法的稳定性和全局性。

     

    Abstract: The method for bearings-only target motion analysis (BO-TMA) based on bearing measurements fusion of two arrays is studied in this paper. The algorithms of pseudolinear processing, extended Kalman filter and maximum likelihood estimation are presented. The results of simulation experiments have shown that this TMA method based on association of multiple arrays not only makes contributions towards eliminating maneuvers needed by bearings-only TMA based on single arrays, but also improves the stabilization and global convergence for varied estimation algorithms.

     

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