Aircraft sensor fault detection based on SLD-LMS algorithm

In the aviation field, people have always paid great attention to flight safety. Various sensors are often placed on the aircraft to detect the structural health of the aircraft, so as to ensure the safe life of the aircraft and reduce the occurrence of safety accidents. Along with the rapid development of sensor technology, sensor networks with sensing ability, computing ability and wireless communication ability are developing rapidly, and the advantages of wireless sensor networks in aviation monitoring are becoming more and more obvious. However, there may be malicious attack nodes in actual wireless sensor networks. It tampers with its own observation data to interfere with or attack the whole network. When wireless sensor networks are in an insecure environment, it will affect information transmission and parameter estimation. On this basis, this paper proposes a distributed diffusion least mean square algorithm based on single channel communication to detect and eliminate Byzantine attacks on special nodes. Through MATLAB simulation, the proposed algorithm has high feasibility, reduces the traffic and can get good parameter estimation.