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A novel estimation algorithm for torpedo tracking in undersea environment

海底环境下一个新的鱼雷跟踪问题的估计算法

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Abstract

A novel estimation algorithm is introduced to handle the popular undersea problem called torpedo tracking with angle-only measurements with a better approach compared to the existing filters. The new algorithm produces a better estimate from the outputs produced by the traditional nonlinear approaches with the assistance of simple noise minimizers like maximum likelihood filter or any other algorithm which belongs to their family. The introduced method is extended to the higher version in two ways. The first approach extracts a better estimate and covariance by enhancing the count of the intermediate filters, while the second approach accepts more inputs so as to attain improved performance without enhancement of the intermediate filter count. The ideal choice of the placement of towed array sensors to improve the performance of the proposed method further is suggested as the one where the line of sight and the towed array are perpendicular. The results could get even better by moving the ownship in the direction of reducing range. All the results are verified in the MATLAB environment.

摘要

本文介绍了一种新的估计算法,用于处理较为普遍的海底问题,即鱼雷跟踪问题。该方法仅使 用角度测量,与现有滤波器相比效果更好。借助简单的噪声优化法(如最大似然滤波法或其他相类似 的算法),新算法通过传统非线性方法产生的输出结果产生更好的估计值。引入的方法可以两种方式 扩展到更高版本。第一种方法通过增强中间滤波器的计数来提取更好的估计值和协方差,第二种方法 则是接受更多的输入以便在不增强中间滤波器计数的情况下获得性能的改进。进一步提取拖曳阵列传 感器位置以改善算法性能的方法是将瞄准线和拖曳阵列相垂直。通过将所有权转移到减少范围的方 向,结果可以变得更好。所有结果均在MATLAB中验证。

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Authors and Affiliations

  1. Department of ECE, GVPCEW, Madhurawada, Visakhapatnam, 530048, India

    D. V. A. N. Ravi Kumar

  2. Department of ECE, KLEF, Guntur, India

    S. Koteswara Rao

  3. Department of ECE, JNT University, Kakinada, India

    K. Padma Raju

Authors
  1. D. V. A. N. Ravi Kumar
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  2. S. Koteswara Rao
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  3. K. Padma Raju
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Correspondence to D. V. A. N. Ravi Kumar.

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Ravi Kumar, D.V.A.N., Koteswara Rao, S. & Padma Raju, K. A novel estimation algorithm for torpedo tracking in undersea environment. J. Cent. South Univ. 26, 673–683 (2019). https://doi.org/10.1007/s11771-019-4038-2

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  • DOI: https://doi.org/10.1007/s11771-019-4038-2

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