Abstract The problem of object localization in multilateration systems is considered in the case when measurements (times of arrival, or TOA) of several consecutive signal transmissions are processed together. The… Click to show full abstract
Abstract The problem of object localization in multilateration systems is considered in the case when measurements (times of arrival, or TOA) of several consecutive signal transmissions are processed together. The suggested solution of the problem is based on minimization of the sum of residuals between TOA and their model. We proposed an effective numerical method for this optimization task, which accuracy is close to the Cramer-Rao lower bound for the corresponding observation equations. The results of work of the algorithm on simulated data with real locations of the receiving stations are presented.
               
Click one of the above tabs to view related content.