Single Antenna GNSS Spoofing Detection Based On Moving Variance Of SQM

With the increasing reliance of civil infrastructure on the Global Navigation Satellite System(GNSS),coupled with potential economic benefits and malicious interference,the emergence of GNSS spoofing devices is indirectly accelerated.Due to the openness and fragility of GNSS signal structure,it is easily interfered by spoofing devices.Generally,such spoofing devices have a certain purpose: to provide incorrect navigation information to the target receiver.In addition,the spoofing device can control the target receiver to output the expected information.Therefore,the detection of GNSS spoofing devices has become a global issue to be solved urgently.However,the spoofing signal transmited by the spoofing device has strong concealment,which makes it more difficult to detect successfully.In recent years,signal quality monitoring(SQM)technology has attracted extensive attention in the GNSS field,and has been proved to be able to detect spoofing attacks.The simplicity and efficacy of SQM also make it popular in spoofing detection.Therefore,the moving variance of SQM index is used to detect the existence of spoofing signals in different models.The algorithm of spoofing detection based on moving variance of SQM is studied from the following aspects:Firstly,a spoofing detection method in code tracking loop is proposed,which is based on the single antenna GNSS signal model with spoofing,and detects the existence of spoofing based on the change of the moving variance of SQM metric combinations.The statistical characteristics of moving variance of SQM metric combinations were analyzed,which laid a foundation for its detection as a detection parameter.Then,an actual collected signal of Texas Spoofing Test Battery(TEXBAT)was used for experimental analysis.Experimental results show that the algorithm can detect spoofing attacks in a short time and the detection performance is better than that of the composite SQM algorithm.Secondly,a single antenna GNSS spoofing interference detection technique based on s-curve-bias(SCB)variance is proposed.According to the characteristics of GNSS signal,the model of spoofing GNSS signal is established.The SCB which can reflect the dynamic characteristics of spoofing is combined with the variance algorithm to detect spoofing interferences.The spoofing generated by simulation and the seventh data of TEXBAT are used for experimental analysis.From the experimental results,it is concluded that the algorithm is effective and better than the SQM variance algorithm under two different spoofing modes.