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Identification of Distance Measuring Equipment Interrogations

机译:测距设备询问的识别

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Distance Measuring Equipment is included into the main list of on-board navigation equipment of civil airplanes. Current performance-based navigation considers DME as a primary sensor for stand-by on-board positioning equipment. During the cycle of range measuring, on-board DME interrogator interacts with a ground-based navigational aids network. Accuracy of range measuring depends on performance and workload of navigational aids network. Navigation signals of Distance Measuring Equipment use Gaussian pulse-pairs form, which does not support signal identification in the ground-based transponder. We propose an algorithm for identification of Distance Measuring Equipment interrogations with a particular air space user. Proposed algorithm is based on navigation signal amplitude detection, clusterization by mean value, and interrogation identification with airspace users located in the operational range of navigational aid based on range criteria. A method of maximal posterior probability is used for interrogation identification with a particular airspace user, which supports recognition with the highest level of probability. Proposed algorithm was integrated into a passive system based on two Software Defined Radios for navigation signal monitoring. Integration of proposed algorithm at the software level of secondary data processing system in the national navigational aids network makes possible to provide user-based service analysis in order to improve overall network performance.
机译:测距设备已包括在民用飞机机上导航设备的主要列表中。当前基于性能的导航将DME视为待机车载定位设备的主要传感器。在测距周期中,机载DME询问器与地面导航辅助网络互动。测距的准确性取决于导航设备网络的性能和工作量。测距设备的导航信号采用高斯脉冲对形式,不支持地面应答器中的信号识别。我们提出了一种用于识别与特定空域用户进行距离测量设备询问的算法。所提出的算法基于导航信号幅度检测,均值聚类以及基于范围标准与位于助航设备工作范围内的空域用户的询问识别。最大后验概率的方法用于与特定空域用户的询问识别,该方法支持以最高概率进行识别。拟议的算法已集成到基于两个软件定义无线电的无源系统中,用于导航信号监视。提议的算法在国家导航辅助网络中的辅助数据处理系统的软件级别上的集成,可以提供基于用户的服务分析,从而提高整体网络性能。

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