基于动态时间弯曲的欠时间信息雷达精度评估方法

Radar Accuracy Evaluation with Lack of Time Information Based on Dynamic Time Warping

摘要:

测量精度是雷达核心系统指标之一,工程中对其进行准确评估有着重要意义；实际应用中在利用ADS-B数据进行精度评估时常因时间信息缺失、时间节拍不均匀等原因导致航迹点匹配误差增大,精度评估效果急剧下降甚至失效；针对上述问题对欠时间信息条件下精度评估问题进行了研究,采用了基于动态时间弯曲算法的雷达航迹点匹配技术,利用形状信息在时间信息缺失的情况下仍能实现航迹点精确匹配从而提升评估精度；考虑到实际应用中边界束缚与计算资源限制,一种预筛选与下界加速技术被提出；然后基于实际应用中序列高维序列信息采用联合度量方法进一步提高航迹点匹配精度；最后在实际测量数据上进行验证,经实验测试表明本方法在时间信息缺失的情况下也可准确评估雷达精度,计算速度快；算法扩展了ADS-B精度评估应用范围,具有广泛实用价值。

Abstract:

The accuracy is one of the core system indicators of radar, and it is of great significance to accurately evaluate it in engineering; when using ADS-B data for accuracy evaluation in practical applications, by lack of time information and uneven time sampling beats, the error of track matching increases, and causes the decreases of accuracy evaluation or even failures. In view of the above problems, the problem of accuracy evaluation under the condition of lack of time information is studied, and the radar track matching technology based on the dynamic time warping algorithm is adopted, which can still achieve satisfactory evaluation result of radar accuracy with no time information; considering the boundary and computational resource constraints in practical applications, a pre-screened and lower bound acceleration technology is proposed; then based on the high-dimensional sequence information in practical applications, the joint measurement method further improves the accuracy of track points matching; finally, the proposed method is verified on the actual measurement data; the experimental test shows that this method can accurately evaluate the radar accuracy even when the time information is missing, the calculation speed is fast; the proposed algorithm expands the application range of ADS-B based radar accuracy evaluation and has a wide range of practical value.