基于雷达-光学联动控制的多传感器协同探测目标跟踪方法

IF 0.6 Q4 ENGINEERING, MECHANICAL
Qi Long, Wenjin He, Ling Yin, Wen-Kai Wu
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引用次数: 0

摘要

雷达是跟踪目标的常用手段,在敌人的主动干扰下,往往会使目标失去跟踪,从而使雷达失去对目标的连续跟踪。为提高跟踪效果,建立了一种基于雷达光电联动控制的多传感器协同探测目标跟踪方法。本研究以雷达光电联动、恒速(CV)、恒加速度(CA)和电流统计模型(CSM)作为运动目标的数学模型。针对不同运动状态下的目标,比较了改进交互式多模型(IMM)和标准交互式多模型(IMM),以及单传感器电子支援措施(ESM)和多传感器电子支援措施(ESM)、红外搜索与跟踪(IRST)。研究结果表明,在变速运动中,采用改进的IMM算法和多传感器进行目标跟踪。目标的方位角和仰角跟踪误差小,可有效解决CV和CA等运动模式转换过程中的模型不匹配问题,方位角和仰角图像曲线波动平稳,稳定性高。该方法可以获得较好的跟踪效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-sensor cooperative detection target tracking method based on radar-optical linkage control
Radar is a common means of tracking a target, and with active enemy interference, it often causes the target to lose its track, thus causing the radar to lose continuous tracking of the target. To improve the tracking effect, a multi-sensor cooperative detection target tracking method based on radar photoelectric linkage control was established. The study is based on radar photoelectric linkage, constant velocity (CV), constant acceleration (CA) and current statistical model (CSM) as the mathematical model of moving targets for this study. Improved interactive multi-model (IMM) and standard IMM were compared for targets in different motion states, as well as single sensor electronic support measures (ESM) and multi-sensor electronic support measures (ESM), infrared search and track (IRST). The research results show that in variable speed motion, the improved IMM algorithm and multiple sensors are used for target tracking. The azimuth and elevation tracking errors of the target are low, which can effectively solve the problem of model mismatch during the conversion of motion modes such as CV and CA. The azimuth and elevation image curves fluctuate smoothly, and have high stability. This method can achieve better tracking results.
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来源期刊
Journal of Measurements in Engineering
Journal of Measurements in Engineering ENGINEERING, MECHANICAL-
CiteScore
2.00
自引率
6.20%
发文量
16
审稿时长
16 weeks
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