Research on Cellular Location Technology Based on Cultural Algorithm

Cellular location using TDOA measuring parameters is always a research hotspot. Nonlinear optimization problem has been a difficult study existing among them. Culture algorithm is a new type of smart algorithm. It has special advantages to solve nonlinear optimization problems. Therefore, a algorithm that combines Chan algorithm with culture algorithm is proposed. This algorithm is used to solve nonlinear optimization problems in TDOA-based location for the case that the receivers are randomly distributed. The simulation results show that, being compared with the traditional method and other intelligent algorithms, this algorithm has a more stable performance, higher location accuracy and less iteration number.