Cellular network location technology based on cultural algorithms

Cellular network location via TDOA parameter measurement is always a research hotspot in communica- tion field, in which the nonlinear optimization problem has been a difficult research problem. However, the culture algorithm, as a newtype of smart algorithms, owns its unique advantages to solve nonlinear optimization problem. Therefore, we proposed an algorithm that combines Chan algorithm with culture algorithm. This algorithm can solve nonlinear optimization problems in TDOA-based location in the case that the receivers are randomly distributed in space. The simulation results showed that, compared with the traditional method and other intelligent algorithms, this algorithm has a more stable performance, higher location accuracy and faster convergence rate.