Research on Improved Base Station Localization Algorithm in NLOS Environment After the Disaster

For the complex non-line-of-sight propagation environment after the disaster, propose an improved Chan-Taylor position solution method based on multiple base stations, integrate the improved residual weighting algorithm with the multivariate Taylor series expansion algorithm, and perform quadratic residual weighting. Moreover, in view of the actual situation of the lack of resources after the disaster, carry out the research of localization algorithm based on single base station, add additional observations such as base station motion state information, to realize secondary weighted positioning in non-line-of-sight environment. Simulation experiments show that, improved multiple base stations and single base station location algorithms can better suppress non-line-of-sight errors, and it is of great significance to carry out location search and rescue in time after the disaster.