The invention relates to the field of flight target anomaly detection, discloses a flight target anomaly detection method based on multi-source data fusion, and solves the problem of low accuracy and reliability of a flight target anomaly detection method depending on ADS-B data alone in the prior art. The method comprises the following steps: acquiring a historical flight path of a flight target based on an ADS-B system, and clustering the historical flight path to obtain route data; matching the flight target position point data obtained by the radar with the route data; drawing a flight target trajectory according to the radar position point, and matching the flight target trajectory with the route data; matching the flight target position point data obtained by the radar with the ADS-B data, verifying the authenticity of the ADS-B data, if the ADS-B data is true, querying the flight plan of the flight target, and matching the ADS-B data with the flight plan; and judging whether the current flight target is abnormal or not by using a pre-established flight target anomaly detection model according to the matching result obtained in the previous step.
本发明涉及飞行目标异常检测领域,其公开了一种基于多源数据融合的飞行目标异常检测方法,解决现有技术中单独依靠ADS‑B数据的飞行目标异常检测的方法准确性和可靠性低的问题。该方法包括:基于ADS‑B系统获取飞行目标历史航迹,对历史航迹进行聚类,获得航路数据;将通过雷达得到的飞行目标位置点数据与航路数据进行匹配;根据雷达位置点绘制飞行目标轨迹,并与航路数据进行匹配;将通过雷达得到的飞行目标位置点数据与ADS‑B数据进行匹配,并校验ADS‑B数据的真实性,如果真实,则查询飞行目标的飞行计划,将ADS‑B数据与飞行计划进行匹配;根据步骤前述获得的匹配结果,利用预先建立的飞行目标异常检测模型判断当前飞行目标是否异常。
Flight target anomaly detection method based on multi-source data fusion
一种基于多源数据融合的飞行目标异常检测方法
2021-10-22
Patent
Electronic Resource
Chinese
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