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利用接收机载噪比测量值的GNSS干扰源定位技术OA

GNSS interference localization technology using the carrier-to-noise ratio measurements of the receivers

中文摘要英文摘要

由于GNSS信号在抵达地面时信号强度较低,极易遭受无意或蓄意的人为干扰,严重时甚至会导致导航和定位服务不可用,因此,定位和消除干扰源显得尤为重要.面向常见的压制式干扰,针对目前的定位方法主要是对原始采样信号进行处理,实现起来往往具有设备复杂、计算量大、成本高的问题.本文提出了一种利用普通商用接收机的载噪比(carrier-to-noise ratio,C/N0)测量值进行GNSS干扰源定位的方法,通过C/N0 测量值估计干扰信号强度差,进而解算出干扰源位置.实测结果表明:视距条件下,在约 11 400 m2 的监测区域中,该方法能够达到 13.17 m的平均绝对定位误差,且耗时较少,可实现干扰源的有效定位.所提方法无需对接收机进行软硬件的改动,实现简单,成本低,利于工程应用.

Due to the low signal strength of GNSS signals upon reaching the ground,they are highly susceptible to unintentional or intentional human interference,which can severely impact the availability of navigation and positioning services.Therefore,locating and eliminating sources is of paramount interference.For common jamming interference,current positioning methods mainly involve processing the raw sampled signals,which often leads to issues with complex equipment,high computational demands,and high costs.This paper proposes a method for locating GNSS interference source using the carrier-to-noise ratio(C/N0)measurements from standard commercial receivers.By estimating the interference signal strength difference through C/N0 measurements,the position of the interference source can be calculated.Field test results indicate that,under line-of-sight conditions,in a monitoring area of approximately 11 400 square meters,this method can achieve a Mean Absolute Error(MAE)of 13.17 meters with minimal time consumption,thereby effectively locating the interference source.The proposed method does not require any modifications to the receiver's hardware or software,making it simple to implement and cost-effective,which is advantageous for engineering applications.

刘智健;姚志强;邓敏;彭德义;姜帆

湘潭大学自动化与电子信息学院,湖南湘潭 411105辽宁天衡智通防务科技有限公司,沈阳 110034

测绘与仪器

GNSSGNSS接收机载噪比(C/N0)压制干扰干扰源定位

GNSSGNSS receivercarrier-to-noise ratiojamminginterference localization

《全球定位系统》 2024 (004)

34-41 / 8

国家重点研发计划(2020YFA0713502);湖南创新型省份建设专项经费资助(2023GK1040)

10.12265/j.gnss.2024033

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