| 基于交互多模卡尔曼滤波器的定位算法" |
| |
| 引用本文： | 肖宁,王玫,雷延锋.基于交互多模卡尔曼滤波器的定位算法"[J].无线电通信技术,2013,39(1):80-83. |
| |
| 作者姓名： | 肖宁 王玫 雷延锋 |
| |
| 作者单位： | 桂林电子科技大学通信研究所,广西桂林,541004 |
| |
| 基金项目： | 国家自然科学基金资助项目(61172054,61071088) |
| |
| 摘 要： | 针对蜂窝网中,由于电磁波的非视距传播导致定位精度较低的问题,将交互多模(IMM)方法引入到蜂窝网定位中。详细阐述了基于卡尔曼滤波器的交互多模算法(IMMKF)的工作原理以及IMMKF在蜂窝网定位中的应用,通过动态环境下的仿真试验验证了IMMKF能随信道传播环境的变化,在视距与非视距滤波模型之间进行自适应切换,达到抑制非视距误差的目的,并对IMMKF的滤波性能进行了分析和仿真验证。
|
| 关 键 词： | 非视距 交互多模 卡尔曼 定位 |
Positioning Algorithm Based on IMMKF |
| |
| XIAO Ning
,
WANG Mei
,
LEI Yan-feng.Positioning Algorithm Based on IMMKF[J].Radio Communications Technology,2013,39(1):80-83. |
| |
| Authors: | XIAO Ning WANG Mei LEI Yan-feng |
| |
| Affiliation: | (Communication Research Institute,Guilin University of Electronic Technology,Guilin Guangxi 541004,China) |
| |
| Abstract: | Due to low positioning accuracy caused by non line-of-sight propagation of electromagnetic wave,Interacting Multiple Model(IMM) is introduced in the field of network positioning.The principle of Interacting Multiple Model based Kalman filter(IMMKF) and its application in positioning a illustrated detailedly.Simulations in dynamic environment prove that IMMKF switches adaptively between the line-of-sight and non-line-of-sight model with channel's changing,and then achieves the purpose of restraining NLOS error.Besides,performance of IMMKF is analyzed and proved by experiments. |
| |
| Keywords: | non-line-of-sight Interacting Multiple Model Kalman positioning |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
