|Table of Contents|

Federated Filtering Arithmetic with Colored Noise(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2006年第02期
Page:
100-103
Research Field:
Publishing date:

Info

Title:
Federated Filtering Arithmetic with Colored Noise
Author(s):
WU Chun-jie1; WU Wen-jian2; YANG Shi-jiang3; HUANG Guang-ping4
1. School of Civil Engineering and Urban Construction, Jiujiang University, Jiujiang 332005, Jiangxi, China; 2. Department of Tianjin Engineering, No.1 Highway Bureau, Tianjin 300451, China; 3. Research Institute o f Tra ffic Science, Urumqi 830000, Xinjiang, China; 4. No.57 Unit, Army 96164, Jinhua 321006, Zhejiang, China
Keywords:
integrated navigation;  federated filtering;  colored noise;  Kalman filter;  data fusion
PACS:
P288.4;TN967.2
DOI:
-
Abstract:
The accuracy and reliability of the kinematic positioning are affected by not only the random noise and systematic errors, but also the colored noised related to time. Any theory or technique based on the hypothesis of Gaussian white noise ignoring the colored noise cannot guarantee the actual reliability of the parameter estimates. On the basis of federated filtering, a federated filtering with colored noise is put forward. The calculation results show that the new arithmetic will give the more actual and reliable parameter estimation of the integrated naviga- tion system.

References:

[1] Carlson N A，Berardcci M P. Federated Kalman Fi lt er Simulati on Resu lt s[J] . Jou rn al of In sti tute of Navigation，1994， 41(3):297 321.
[2] Carlson N A. Federat ed Fil ter f or Fault-t olerant Int egrat ed Navi gat ion S yst em :Proceeding s of posi ti on Locati on and Navi gat ion Sym posium[J] . IEEE Aerospace and Elect ronic Sys tem，1998，12(4):110 119.
[3] Salzm ann M，Teunis sen P. Det ecti on and M odeling of Colored Noise f or Kalman Fi lt er Applicat ions in Kinematic S yst em s in Geodesy[J] . Su rveying and Remote Sensing，1991， 23(5):15 23.
[4] 柏 菁. 地形辅助 /惯性 /GPS 组合导航系统的研究与可视化 仿真[D] . 南京 :南京航空航天大学, 2002.
[5] 蔡 希尧，康耀红，卢 科学，等. 多传 感器数据融合的 研究现状 [J] . 西安电子科技大学学报，1994，21(6):101 107.
[6] 李兆杰，郭呈贺，钱 文瀚. 多传 感器集 成融合 技术[J] . 传感 器技术，1996(6):1 4.
[7] 马立诚. 多传感器导 航系统中 的联合卡 尔曼滤波[J] . 导航， 1995(4):100 107.
[8] 邱红专，张洪 铖. 联邦 滤波 器的容 错性 分析 与仿 真[J] . 导 航，1999(3):27 35.
[9] 高为广，崔先强. 含有色 噪声的几 何导航解 自适应融 合算法 [J] . 测绘科学与工程，2004，24(2):5 8.
[10] 王腾军，王 卫，崔建军. GPS 观测数据格式转换研究[J] . 西 安工程学院学报，2000，22(3):53 55.

Memo

Memo:
-
Last Update: 2006-06-20