RSSI localization algorithm based on RBF neural network

• Published in: 2012 IEEE International Conference on Computer Science and Automation Engineering pp. 321 - 324
• Main Authors: Jiannan Tian, Zhan Xu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-06-2012
• Subjects: Artificial intelligence; Flowcharts; Localization Algorithm; NLOS; RBF Neural Network; The Internet of things
• ISBN: 9781467320078; 1467320072
• ISSN: 2327-0586
• DOI: 10.1109/ICSESS.2012.6269470

This paper proposes a algorithm method of RBF neural network based on RSSI localization algorithm. It solves the question which through traditional filter algorithm, redundancy algorithm can not solve base on effect of multi-route propagation, and the complexity of signal attenuation environment. Simulation results demonstrate the validity of the algorithm, it can mitigate the effect of multi-route propagation, and localization precision can reach one meter or higher. On the side, this algorithm have higher convergence speed, it fits in embedded application. It can be designed as self-study and closed loop neural network in future.