Research On Information Transmission And Fault Detection Of Distributed Multi-source Autonomous Navigation System

With higher requirements of reliability and accuracy for the combat aircraft navigation system,single navigation method has been unable to meet the requirement of high performance navigation, sothe integrated navigation technology becomes more and more popular. When during strategic andtactical missions, the airborne detection equipment of the combat aircraft is best to remain silent, so asto reduce the possibility of being discovered. As a result, combat aircraft navigation system requireshigher autonomy and stability while maintaining high accuracy.In order to meet the combat aircraft navigation requirements of high-autonomy, high-reliabilityand high-precision, this paper studied multi-source integrated autonomous navigation system.Research on the information transmission of distributed inertial sensor networks is to improve theprecision of inertial navigation system, and in order to improve the independence and reliability of thenavigation system, this paper focused on fault detection of sensor networks and multi-sourcenavigation system.Firstly, this paper studied the fault detection of distributed inertial sensor networks. Based onthe structure of distributed sensor network, a kind of feedback two-node fault detection model wasconstructed. Use the parity test equations with dynamic threshold to detect the gyro fault. And theaccelerometer output was analyzed in detail. Then accelerometer fault detection method based on thereconstruction and projection of the measurement was proposed. And the simulations verified theeffectiveness of the proposed method.Secondly, research on information transmission of the sensor networks which have been carriedout fault detection and isolation. And then the output relationship between the main node and the childnodes was analyzed. This paper used inertial measurement matching method and multi-vectormeasurement method to calculate the deformation angle between the main node and the child nodes.And the distributed attitude group transfer alignment program for inertial/celestial navigation systemwas designed.Thirdly, fault detection was carried out for the other navigation systems of the main node. Andanalyzed on three common types of fault (outliers, soft fault, hard fault) in the navigation system indetail. Consider the advantages and disadvantages of the residual x2and improved SPRT algorithmand the impact of outliers, residual x2-improved SPRT algorithm with moving detection cycle was putforward to accomplish the integrated detection of these three kinds of fault. Taking the inertial/celestial navigation system as an example and simulations verified the effectiveness of theproposed algorithm.Finally, verified on the digital simulation system that the information transmission and integratedfault detection algorithm for distributed multi-source integrated autonomous navigation system iseffective and practical.