扩展卡尔曼滤波算法在UWB定位中的应用  

Application of Patulous Kalman Filter Algorithm in UWB Location

作　　者：闫潇[1,2] 张洪顺[1] 宋琦军 孙梦婕[3] 

机构地区：[1]重庆通信学院,重庆400035 [2]解放军61226部队,北京100079 [3]中国航天员科研训练中心,北京100094

出　　处：《通信对抗》2009年第1期26-28,共3页Communication Countermeasures

摘　　要：随着无线通信技术的发展，新兴的无线网络技术得到了广泛的应用，基于无线网络的定位技术尤其是UWB（Ultra Wide Band）无线定位技术具有广阔的发展前景。考虑到UWB定位系统中存在的非线性问题，在RSSI（Received Signal Strength Indication）算法的基础上将扩展卡尔曼滤波算法应用于UWB定位技术中，并对RSSI算法和扩展卡尔曼滤波算法进行了性能仿真分析，通过仿真证实了扩展卡尔曼滤波算法能够有效减少定位误差，提高定位精度。With the development of the wireless communication technology, the new wireless network technology has been widely used. Locating technique based on wireless network especially UWB wireless location technique has a cheerful prospect. This paper applies Patulous Kalman Filter algorithm to UWB location technology based on RSSI algorithm, and brings forward the simulation of the performance of RSSI algorithm and Patulous Kalman Filter algorithm. Simulation results demonstrate that Patulous Kalman Filter algorithm can reduce locating error, and increase locating precision.

关 键 词：UWB 定位算法 R-SSI算法 扩展卡尔曼滤波算法 

分 类 号：TN953[电子电信—信号与信息处理] TN929.5[电子电信—信息与通信工程]