为解决目标机动导致相关纯方位跟踪算法无法使用的问题，通过深入分析变点检测领域AUC方法的基本原理，提出一种基于曲线下面积（Area Under the Curve, AUC)的纯方位机动检测方法。该方法利用目标机动前后方位序列发生变化的特点，直接将量测的方位序列作为纯方位目标机动检测的唯一输入，不依赖于纯方位目标跟踪算法解算结果。理论分析与仿真计算验证了该方法的可行性与有效性，为提高相关跟踪算法的适用性提供一种技术途径。
To solve the problem of target maneuvering causing the inability to use related bearing-only tracking algorithms, a bearing-only maneuver detection method based on area under the curve is proposed by deeply analyzing the basic principles of AUC methods in the field of change point detection. This method utilizes the characteristic of changes in the bearing sequence before and after target maneuvering, and directly uses the measured bearing sequence as the only input for bearing-only target maneuvering detection, without relying on the calculation results of bearing-only target tracking algorithms. Theoretical analysis and simulation calculations have verified the feasibility and effectiveness of this method, providing a technical approach to improve the applicability of related tracking algorithms.
2025,47(22): 160-165 收稿日期：2025-3-6
DOI：10.3404/j.issn.1672-7649.2025.22.023
分类号：U662；E917；TN953
基金项目：装备预研基金资助项目（3020902020101）；装备预研基金资助项目（22-TQ02-01-ZT-01-001）
作者简介：张亚斌（1993 – ），男，硕士，工程师，研究方向为水下目标运动分析
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