Fault Detection System For Heterogeneous Wireless Communication Networks Based On Joint Feature Parameter Extraction

Abstract

In order to solve the problem of poor fault detection accuracy in heterogeneous wireless communication networks, a design method of fault detection system for heterogeneous wireless communication networks based on joint feature parameter extraction is proposed. By using ARM9 chip to optimize the hardware configuration of the system, in order to ensure the operation effect of the system hardware, the software running algorithm of the fault detection system of heterogeneous wireless communication network is optimized based on the joint feature extraction method. According to the segmented features of the extracted fault data of the heterogeneous wireless communication network, the reconstruction and diagnosis operation are carried out, The dynamic fault time of communication network is regulated, and the fault detection system of heterogeneous wireless communication network is established. Finally, the experimental results show that, compared with the traditional methods, the detection accuracy of fault detection system based on joint feature parameter extraction is significantly improved, and the detection speed is relatively faster, which fully meets the research requirements.