针对水面及水下纯方位变速、变向目标机动检测跟踪问题，提出一种基于时间节点联合估计的多平台纯方位机动目标跟踪算法，该算法将目标的机动时刻等价于“时间未知节点”，基于Taylor级数运动要素估计方法直接对目标机动时刻、目标机动前后运动要素进行估计。机动检测特征是估计机动时刻以及估计机动时刻迭代分量的迭代过程，当迭代过程震荡发散，或机动时刻估计值不在观测时间范围内时，目标未发生机动。仿真结果表明，该算法在跟踪中远距离海上变向变速目标时，具有较低的机动检测虚警率和较高的跟踪精度。
Aiming at the problem of surface and underwater bearings-only variable speed and directional target maneuvering detection and tracking, a multi-platform bearing-only maneuvering target tracking algorithm based on joint estimation of time nodes is proposed. The algorithm equates the maneuvering time of the target to an "unknown time node", and directly estimates the target maneuvering time and the motion elements before and after the target maneuvering based on the Taylor series motion element estimation method. The maneuvering detection feature is the iterative process of estimating the maneuvering time and estimating the iterative components of the maneuvering time. When the iterative process oscillates and diverges, or the estimated value of the maneuvering time is not within the observation time range, the target does not undergo maneuvering. The simulation results show that the algorithm has a maneuvering detection low false alarm rate and high tracking accuracy when tracking medium to long-distance sea variable direction and variable speed targets.
2024,46(16): 136-142 收稿日期：2023-12-11
DOI：10.3404/j.issn.1672-7649.2024.16.022
分类号：TN929.3
作者简介：范学满（1989 – ），男，博士，副研究员，研究方向为智能决策
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