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不完全量测下事件触发水面扩展目标跟踪

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已有的水面扩展目标跟踪方法虽然提高了跟踪精度，但增加了通信消耗，而且无法避免不完全量测的干扰。为解决上述问题，依据探测器获取目标信息的机理将量测向量中各分量进行分组，建立不完全量测下由随机矩阵描述的扩展目标测量模型;进而结合目标运动模型，构建不完全量测下水面扩展目标跟踪模型;基于所建立的目标跟踪模型，提出一种多通道解耦的事件触发机制调节探测器与估计中心间的数据传输;基于容积卡尔曼滤波算法，提出一种不完全量测下事件触发水面扩展目标跟踪方法。仿真实验结果表明，所提方法可在保持较高目标跟踪精度的前提下，显著降低通信消耗，同时有效避免不完全量测的干扰。
Event-triggered Surface Extended Target Tracking with Intermittent Measurements
Although the existing methods for surface extended target tracking have the improved estimation performance,they increase the communication costs of target tracking systems. Besides,they can't avoid the influences of intermittent measurements. In order to solve these problems,the components of measurement vectors are divided into different groups according to the measuring methods of extended target information,and a measuring model described by a random matrix is developed. And then a surface extended target tracking model with intermittent measurements is developed by combining the proposed measuring model with the target motion model. Based on the proposed target tracking model,a multi-channel decoupled event-triggered mechanism is proposed to schedule the data transmissions between the sensor and the estimation center. Lastly,an event-triggered surface extended target tracking method is provided based on the cubature Kalman filtering algorithm. Simulated results show that the proposed method can be used to significantly reduce the communication consumptions with preserving estimation performance,and avoid the influences of intermittent measurements.

surface extended target trackingevent-triggered mechanismintermittent measurementcubature Kalman filtering

梁苑、戚国庆、陈烨、李银伢、盛安冬

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南京工程学院 汽车与轨道交通学院,江苏 南京211167

南京理工大学 自动化学院,江苏 南京210094

南京工程学院 人工智能产业技术研究院,江苏 南京211167

水面扩展目标跟踪 事件触发机制 不完全量测 容积卡尔曼滤波

国家自然科学基金国家自然科学基金江苏省高等学校基础科学面上项目江苏省高等学校基础科学面上项目南京工程学院科研项目

621712236187122121KJB12000421KJB120005YKJ202029

2024

10.12382/bgxb.2022.1017

兵工学报
中国兵工学会

兵工学报

CSTPCD北大核心
影响因子：0.735
ISSN：1000-1093
年,卷(期)：2024.45(4)
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