Research on cellular location technology based on cultural algorithm

  • Authors:

  • Qiao Liang;Qiao Yao-ying;Shenyuan Yang

  • Affiliations:

  • Department of Information and Communication, Harbin Engineering University, Harbin, China;Department of Information Engineering, Communication University of China, Beijing, China;Department of Information and Communication, Harbin Engineering University, Harbin, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

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.