| 基于边沿化粒子滤波的GPS单点定位算法 |
| |
| 引用本文： | 赵琳,闫超,丁继成,王小旭.基于边沿化粒子滤波的GPS单点定位算法[J].弹箭与制导学报,2009,29(6). |
| |
| 作者姓名： | 赵琳 闫超 丁继成 王小旭 |
| |
| 作者单位： | 哈尔滨工程大学自动化学院,哈尔滨,150001 |
| |
| 基金项目： | 高等学校博士学科点专项科研基金 |
| |
| 摘 要： | 针对强干扰情况下GPS定位精度低、鲁棒性差的问题,文中利用多普勒观测值改进了传统的伪距单点定位模型,并将该模型与边沿化粒子滤波技术有效的结合,通过状态模型划分,避免了模型线性化误差.理论分析与实验结果表明,该方法能够有效克服传统粒子滤波计算量大的缺点,显著提高强干扰环境下接收机的定位精度和鲁棒性.
|
| 关 键 词： | 粒子滤波 定位精度 非线性 |
GPS Point Positioning Based on Marginalized Particle Filter |
| |
| ZHAO Lin,YAN Chao,DING Jicheng,WANG Xiaoxu.GPS Point Positioning Based on Marginalized Particle Filter[J].Journal of Projectiles Rockets Missiles and Guidance,2009,29(6). |
| |
| Authors: | ZHAO Lin YAN Chao DING Jicheng WANG Xiaoxu |
| |
| Affiliation: | ZHAO Lin,YAN Chao,DING Jicheng,WANG Xiaoxu (College of Automation,Harbin Engineering University,Harbin 150001,China) |
| |
| Abstract: | Focused on poor positioning accuracy and weak robustness of GPS under strong interference,a new method of GPS point positioning which adopts marginalized particle filter (MPF) to estimate the added Doppler's non-linear model and decomposition to reduce linearization error. The academic analysis and computer simulation suggests that MPF can effectively reduce the complexity of particle filter (PF) and improve system positioning precision and robustness. |
| |
| Keywords: | GPS GPS particle filter (PF) positioning accuracy non-linear |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
