Multi-node Cooperative GPS Deception Jamming Detection Technology Research

The vulnerability of satellite navigation signals deeply influenced by a variety of disturbances,and in the "navigation war" background,the interference for malicious is creasing.Jamming interference because of its small power,hiding ability,and thus more subject to national experts and military departments of the attention,is becoming more and more important means.So,how to identify deception jamming to ensure the accuracy of navigation results has an great significance,it has become an important research topic in the field of satellite navigation.Presently,at home and abroad for jamming detection method is mainly based on the signal and information processing.Most algorithms rely on a single node device identification received signal characteristics,such as signal power detector,DOA,signal arrival time,signal Doppler frequency and signal polarization or other information,to find and eliminate deception jamming.But with the development of spoofing and anti-spoofing,under certain conditions spoofing signal can be done similar to the real signal in these characteristics,which can lead to miscarriage of justice.So for this new changes,the use of more information on a plurality of receivers,detection performance can be further improved.Information for multi-node available,can be divided into several levels,including the Position-Velocity-Time(PVT)results,pseudorange,Doppler,carrier phase,etc,can be used as decision basis.From theoretical analysis,numerical calculation,experimental verification,this paper study the jamming coordinate mapping feature,and obtained coordinate mapping feature,which provides a theoretical basis for the test.In the third chapter,by detecting commonly used model and using Neyman-Pearson method,we deduced deception interference detection algorithm based positioning coordinates multi-node,this algorithm can be obtained the expression of measurements threshold and detection probability,the theoretical value of the detection probability,get change graph of the theoretical value between probability of false alarm and the receiver positioning accuracy.The fourth chapter presents a new single-node spoofing detection methods from the theoretical analysis and numerical calculation aspects,and using Neyman-Pearson method derived single node jamming detection algorithms.This algorithm can be obtained the expression of measurements threshold and detection probability,the theoretical value of the detection probability,and get change graph of detection probability theoretical value between the vector difference,false alarm probability and receivers' accuracy.The fifth chapter developed a mobile phone software,and detect spoofing with two smart phones installed the software,after the test,we compute the assay success rate.And the test results were compared with the theoretical value of the probability of detection,the experimental results and the theoretical value of the probability of detection is consistent trend,which proves the correctness of the algorithm model.