单基阵纯方位水下目标运动分析需要基阵所在平台至少作一次机动，复杂多变的海战环境中，往往并不允许平台执行机动，故通常需利用多维信息对水下目标进行运动分析。本文基于双阵方位进行水下目标运动分析，目前相关公开文献中多是从仿真层面对该问题进行研究，本文在数值仿真的基础上，通过对海试数据的处理，从试验层面研究这一问题。文中采用最大似然估计法和扩展卡尔曼滤波方法进行双阵纯方位水下目标运动分析，通过数值仿真及海试数据的处理，验证算法的有效性。
Maneuvering of the observation platform is necessary during bearings-only underwater moving target motion analysis using single array, however this would not be allowed in complex sea warfare environment, so multi-dimensional information usually would be needed. This paper utilizes azimuth measurements of two arrays to analyze the state of underwater moving target, most of pertinent literature study this problem by means of simulation, in this paper, an experimental study is conducted and the sea trial data is processed. The algorithm of maximum likelihood estimator is applied to the problem in this paper, and also is the algorithm of extended kalman filter. The performance of the both methods are studied through simulation and the experiment, and the effectiveness of the both methods are proved.
2017,39(5): 163-168 收稿日期：2016-12-26
DOI：10.3404/j.issn.1672-7619.2017.05.033
分类号：TB566
作者简介：吴旭(1993-),男,硕士研究生,研究方向为水声信号处理
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