相控阵雷达的出现，使得舰载雷达可以通过控制阵元间的发射接收相位差来改变波束方向，提高雷达波束的扫描速度。然而，基于RFS建模的多目标跟踪算法仍面临非线性系统下多目标跟踪精度的问题，需要借助单目标滤波算法中的非线性近似手段提升舰载雷达跟踪水平。本文围绕跟踪反馈技术在舰载雷达目标检测，以δ-GLMB跟踪反馈算法展开研究。使用多传感器提供的更全方位、更深维度的信息，提高整个跟踪反馈技术系统的观测精度，进而增强舰载雷达的抗误检、漏检、虚检能力。
The emergence of phased array radar enables shipboard radar to change the beam direction by controlling the transmit and receive phase difference between the array elements, which improves the scanning speed of the radar beam. However, the multi-target tracking algorithm based on RFS modeling still faces the problem of multi-target tracking accuracy in nonlinear systems. How to effectively learn from and use nonlinear approximation methods in single-target filtering algorithms to improve shipborne radar tracking feedback technology. Accordingly, this paper will focus on the application of tracking feedback technology in shipborne radar target detection methods, and carry out relevant analysis and research with δ-GLMB tracking feedback algorithm. It aims to use the more comprehensive and deeper dimensional information provided by multiple sensors to improve the observation accuracy of the entire tracking feedback technology system, thereby enhancing the anti-false detection, missed detection, and false detection capabilities of the shipboard radar.
2023,45(11): 127-130 收稿日期：2022-11-05
DOI：10.3404/j.issn.1672-7619.2023.11.025
分类号：U667.65
基金项目：山西省重点研发项目（信创、大数据和光电领域）（202202020101007）
作者简介：李慧姝(1981-),女,硕士,高级工程师,研究方向为人工智能及信息化
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