FR共轭梯度法与泰勒级数展开法协同定位算法  

Synergistic Positioning Algorithm Based on FR Conjugate Gradient Method and Taylor Series Expansion Method

作　　者：杨友良[1] 张晶[1] 孟凡伟[1] 马翠红[1] 

机构地区：[1]河北联合大学电气工程学院,河北唐山063009

出　　处：《自动化仪表》2014年第7期60-63,共4页Process Automation Instrumentation

基　　金：河北省科技计划基金资助项目(编号:12276906D;唐山市科学技术研究与发展计划基金资助项目(编号:11130203A;12130212A)

摘　　要：在无线射频识别技术(RFID)系统中,接收信号强度法(RSSI)应用比较广泛。采用泰勒级数展开法可提高定位的精度,但在初始估计位置远离真实值时,其收敛性难以保证。针对这一情况,引进FR共轭梯度法与其进行协同定位。通过对初始值是否接近真实值、测量值是否精确等多种情况进行仿真。结果表明,协同定位算法有效提高了传统泰勒级数展开法的收敛度,并且在部分情况下提高了传统泰勒级数展开法的定位精度。In radio frequency identification （RFID） system, the received signal strength indication method （RSSI） is widely applied. In many cases, Taylor series expansion method is used to improve the positioning accuracy, but when initial estimated position is far away from the actual position, it is difficult to ensure the convergence. Aiming at this situation, the FR conjugate gradient method is introduced to conduct synergistic positioning. Through simulation for many cases, including if initial value closes to actual value or not, if the measurement is accurate or not, the results show that the synergistic positioning algorithm effectively enhances the convergence of traditional Taylor series expansion method, and in some cases, it also enhances the positioning accuracy of traditional Taylor series expansion method.

关 键 词：RSSI RFID 定位 FR共轭梯度法 泰勒级数展开 

分 类 号：TN925[电子电信—通信与信息系统]