A Cooperative Algorithm Implementation Improvement MLAT Localization Accuracy
MLAT is a proven technology that has been in use for many decades, with high
accuracy and update rate, cost-effective of operation and maintenance, anti-fraud and
other characteristics by using a method known as Time Difference of Arrival (TDOA).
In order to improve positioning accuracy, a high-precision iterative algorithm for initial
values of constraints is proposed in this paper, it uses the Chan algorithm to obtain the
estimated position of the target and uses this value as the initial guesses of the Taylor
algorithm. Both simulation and operation results show that the cooperative algorithm
can significantly improve the positioning accuracy of TDOA.