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GIDL: GENERALIZED INTERFERENCE DETECTION AND LOCALIZATION SYSTEM

机译:GIDL:广义干扰检测和定位系统

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摘要

The Local Area Augmentation System (LAAS) and the Wide Area Augmentation System (WAAS) are being developed by the U.S. FAA to provide satellite navigation performance compliant with the stringent requirements for aircraft precision approach and landing. A primary design goal of both systems is to insure that signal-in-space failures are detected by ground facilities and affected measurements are excluded before differential corrections are broadcast to users. One such failure is unintentional interference or intentional jamming in the GPS frequency band. To protect integrity, ground facilities must quickly detect the presence of interference that fall within the restricted zone defined by LAAS and WAAS system requirements and thus may be hazardous to users. To protect availability, ground personnel must also be able to locate and deactivate the interference source. In order to serve this purpose, the prototype Generalized Interference Detection and Localization System (GIDL) has been developed. This prototype includes four antennae and RF sections slaved to a common clock to allow detection and determination of three-dimensional interference location. The paper describes test results from a real-time demonstration of the GIDL system. In this test, a calibrated wideband noise source is utilized as GPS jammer and is moved around the field between a set of pre-calibrated locations, and the realtime GIDL display provides up-to-date estimates of the location of this interference source to within the limits predicted by the accuracy analysis.
机译:美国联邦航空局正在开发局域增强系统(LAAS)和广域增强系统(WAAS),以提供符合航空器精确进近和着陆的严格要求的卫星导航性能。这两个系统的主要设计目标是确保地面设施检测到空间信号故障,并在向用户广播差分校正之前排除受影响的测量。一种此类故障是GPS频段中的意外干扰或故意干扰。为了保护完整性,地面设施必须快速检测到存在于LAAS和WAAS系统要求所定义的限制区域内的干扰,因此可能对用户造成危害。为了保护可用性,地面人员还必须能够找到并禁用干扰源。为了达到这个目的,已经开发了原型通用干扰检测和定位系统(GIDL)。该原型包括从属于一个公共时钟的四个天线和RF部分,以允许检测和确定三维干扰位置。本文描述了GIDL系统实时演示的测试结果。在此测试中,将校准的宽带噪声源用作GPS干扰器,并在一组预先校准的位置之间的场上移动,并且实时GIDL显示可提供此干扰源位置的最新估计值。精度分析预测的极限。

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