基于ASDE和multieration mode-S数据融合的机场地面定位识别

Jesús García Herrero, J. Portas, F. Rodríguez, J. Corredera
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引用次数: 17

摘要

提出并评估了一种数据融合方法,用于处理来自机场表面探测设备(ASDE)和机场表面s型多重传感器的数据。针对这两种测量系统所产生的误差,建立了严格的统计模型,包括从ASDE图像中提取的属性、用于关联的扩展距离计算以及考虑传感器之间相对偏移和方向角状态的跟踪方案。仿真结果表明,测量模型与仿真提取的参数相匹配,跟踪系统的性能与几种备选方案进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ASDE and multilateration mode-S data fusion for location and identification on airport surface
A data fusion methodology to process data coming from the airport surface detection equipment (ASDE) and mode-S multilateration sensors in airport surface is presented and evaluated. Rigorous statistical models for the errors committed by both types of measuring systems, including attributes extracted from ASDE images, an extended distance computation for association and a tracking scheme considering states for the relative offset between sensors and orientation angle are developed. The results obtained by simulations with representative operations in European airports show the matching of measuring models with the parameters extracted from simulations and the performance of the tracking system comparing several alternatives with that proposed.
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