A convergence analysis of an adaptive underwater passive tracking system

R. Moose, Mauro J. Caputi
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Abstract

The ability of the adaptive filtering system to converge to an unbiased estimate cf those target parameters of interest such as range and depth is examined. Passive target measurements make use of difference in signal arrival time between geometrically separated sensor systems such as those described in Knapp and Carter (1976), Hassab and Boucher (1976), Hassab (1976), McCabe and Moose (1981). While generally good results of different simulated tracking scenarios have been reported upon in Moose (1983), and Moose and Dailey (1983) these results are valid only for the geometries that were specifically simulated. Thus a theoretical investigation is necessary to examine filter convergence after an initial target detection or target maneuver has occurred. Due to the complexity of the nonlinear data generation and tracking system shown for the vertical plane, and not shown, though very similar for range and bearing in the horizontal ocean plane the convergence analysis is part analytic and part computer analysis. Preliminary results show that the tracking systems converge, but converge with a small bias that is both geometry and signal to noise ratio dependent.
自适应水下无源跟踪系统的收敛性分析
研究了自适应滤波系统收敛到目标参数(如距离和深度)无偏估计的能力。被动目标测量利用几何分离的传感器系统之间信号到达时间的差异,如Knapp和Carter(1976)、Hassab和Boucher(1976)、Hassab(1976)、McCabe和Moose(1981)所描述的传感器系统。虽然在Moose(1983)和Moose和Dailey(1983)中已经报道了不同模拟跟踪场景的总体良好结果,但这些结果仅适用于专门模拟的几何形状。因此,在初始目标检测或目标机动发生后,有必要进行理论研究来检验滤波器的收敛性。由于非线性数据生成和跟踪系统的复杂性显示在垂直平面上,而不是显示在水平海洋平面上,尽管非常相似的距离和方位,收敛分析是部分解析和部分计算机分析。初步结果表明,跟踪系统收敛,但收敛偏差较小,且与几何形状和信噪比相关。
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