Motion State Monitoring Based GNSS Spoofing Detection Method for Repeater Spoofing Attack

2016 ◽  
Author(s):  
Wentao Bai ◽  
Hong Li ◽  
Yichen Yang ◽  
Mingquan Lu
Keyword(s):  
Detection Method ◽  
State Monitoring ◽  
Motion State ◽  
Spoofing Detection

Design of Low-Noise, High-Density Signal Intelligent Detection System

2013 ◽  
Vol 380-384 ◽  
pp. 3882-3885
Author(s):  
Xiaoan Yang
Keyword(s):  
Phase Transition ◽  
Detection Method ◽  
Detection System ◽  
Low Noise ◽  
Weak Signal ◽  
High Effectiveness ◽  
Motion State ◽  
Intelligent Detection ◽  
Stable Performance ◽  
Engineering Practices

Using motion state of the equipment transducer to determine the presence of a weak signal is a common method of signal detection, whose core is to determine the system's phase change. There a many traditional ways to judge phase transition, but most of which have computational complexity and need a large amount of data which make them difficult to apply engineering practices. In order to solve these problems, this paper presents a detection method based on Lyapunov exponent classification with a small amount of data. This approach has some advantages such as requiring fewer observed values, small calculation amount, and able to automatically determine the phase transition without subjective factors involved etc. Experiments show that this method has stable performance, high effectiveness, strong practicality and promotion.

Real-Time Detection of Adhesion Coefficient between Tire and Road

2012 ◽  
Vol 249-250 ◽  
pp. 109-112
Author(s):  
Kui Yang Wang ◽  
Jin Hua Tang ◽  
Guo Qing Li ◽  
Chuan Yi Yuan
Keyword(s):  
Load Transfer ◽  
Detection Method ◽  
Safety Performance ◽  
Vehicle Safety ◽  
Position Sensor ◽  
Vertical Load ◽  
Adhesion Coefficient ◽  
Vehicle Load ◽  
Motion State ◽  
Brake Force

Adhesion coefficient between tire and road is one of important factors which influence vehicle safety performance. On the basis of theoretical analysis, the detection method of adhesion coefficient based on brake-by-wire is put forward. Brake force is estimated according to pedal position sensor, vehicle braking deceleration is detected through MMA6260Q acceleration sensor. Motion state of tire is distinguished according to brake force and road braking force, vertical load of tire is received in view of formula on vehicle load transfer. Adhesion coefficient used for sliding area is got and taken as adhesion coefficient of road. Analysis shows that the detection method may identify adhesion coefficient between tire and road accurately, and has certain practical value.

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