A novel interpolation fingerprint localization supported by back propagation neural network

作者：Liu, Jianqi; Zhou, Huaping^*; Chen, Cuisong

来源：Sensors and Transducers, 2013, 158(11): 338-343.

• Application requirements
• Back-propagation neural networks
• BPNN
• Localization algorithm
• Location aware services
• Location fingerprint
• Location-aware
• Low-power dissipation

In view of people's increasing demand for location-aware service, high-accuracy indoor localization has been considered the top priority of location-based service (LBS), therefore, the compact and cost-effective ZigBee technology with low power dissipation will undoubtedly be taken as one of the options for indoor localization within small area. As the accuracy cannot satisfy the application requirement, traditional localization ZigBee-based algorithm is abandoned gradually. This paper proposes a novel ZigBee-based indoor fingerprint localization algorithm and optimizes it through back propagation neural network (BPNN) interpolation method. Simulation result shows that this algorithm can significantly reduce the number of fingerprints and improve localization accuracy.

• 出版日期2013
• 单位安徽大学