Research on indoor positioning algorithm based on
2016-08-23
4 0 0
4.0
Other
Earn points
Application background
In view of indoor objects or personnel using active radio frequency identification (RFID) technology, the design of the indoor environment of the positioning algorithm. Traditional RFID roomBecause of the complexity of indoor environment, the path loss coefficient is very difficult to estimate and the positioning accuracy is not high. To solve these problems, a BP neural network was proposed.RFID indoor location algorithm, the algorithm introduces the reference tag auxiliary positioning, the use of BP neural network to establish the field signal transformation model. Enter a receive letter in the modelThe output path loss coefficient, the network model improves the accuracy of the path loss coefficient, and then uses the distance loss model to achieve accurate positioning, thereby reducing the positioning.Error. Compared with the traditional RFID algorithm, the simulation and experimental results show that the improved algorithm has a signific算法
神经网络
bp
rfid
定位
基于
研究
室内
Related Source Codes
Classic Interview Questions for Digital City Front
0
0
no vote
HDU-2553 N Queen Question
0
0
no vote
Bp neural network prediction output
0
0
no vote
MUSIC code
0
0
no vote
Artificial fish school algorithm
0
0
no vote
No comment