Fuzzy adaptive algorithm based on modified current statistical model for vehicle positioning
The singer model and current statistical model were first analyzed and compared. A modified scheme based on the two kinds of models was proposed. Moreover, a modified current statistical model based-fuzzy adaptive extended Kalman filter (MCS-FAEKF)algorithm was proposed to choose maneuvering model a...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2013-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.07.021/ |
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| _version_ | 1841539815286243328 |
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| author | Zhen-hong SHAO Wen-feng3 LI Yi WU Qiong YANG Lian-feng SHEN |
| author_facet | Zhen-hong SHAO Wen-feng3 LI Yi WU Qiong YANG Lian-feng SHEN |
| author_sort | Zhen-hong SHAO |
| collection | DOAJ |
| description | The singer model and current statistical model were first analyzed and compared. A modified scheme based on the two kinds of models was proposed. Moreover, a modified current statistical model based-fuzzy adaptive extended Kalman filter (MCS-FAEKF)algorithm was proposed to choose maneuvering model and adjust system noise covariance dynamically. The simulated results show that the algorithm could get more accurate and reliable performance for vehicle positioning compared with the current statistical model based-extended Kalman filter (CS-EKF) and Singer-EKF algo-rithms. |
| format | Article |
| id | doaj-art-7830f13609834123bec7f2ac784ad4da |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-7830f13609834123bec7f2ac784ad4da2025-01-14T06:40:57ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-07-013418419059673844Fuzzy adaptive algorithm based on modified current statistical model for vehicle positioningZhen-hong SHAOWen-feng3 LIYi WUQiong YANGLian-feng SHENThe singer model and current statistical model were first analyzed and compared. A modified scheme based on the two kinds of models was proposed. Moreover, a modified current statistical model based-fuzzy adaptive extended Kalman filter (MCS-FAEKF)algorithm was proposed to choose maneuvering model and adjust system noise covariance dynamically. The simulated results show that the algorithm could get more accurate and reliable performance for vehicle positioning compared with the current statistical model based-extended Kalman filter (CS-EKF) and Singer-EKF algo-rithms.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.07.021/Singer modelcurrent statistical modelvehicle positioningfuzzy adaptive extended Kalman filter |
| spellingShingle | Zhen-hong SHAO Wen-feng3 LI Yi WU Qiong YANG Lian-feng SHEN Fuzzy adaptive algorithm based on modified current statistical model for vehicle positioning Tongxin xuebao Singer model current statistical model vehicle positioning fuzzy adaptive extended Kalman filter |
| title | Fuzzy adaptive algorithm based on modified current statistical model for vehicle positioning |
| title_full | Fuzzy adaptive algorithm based on modified current statistical model for vehicle positioning |
| title_fullStr | Fuzzy adaptive algorithm based on modified current statistical model for vehicle positioning |
| title_full_unstemmed | Fuzzy adaptive algorithm based on modified current statistical model for vehicle positioning |
| title_short | Fuzzy adaptive algorithm based on modified current statistical model for vehicle positioning |
| title_sort | fuzzy adaptive algorithm based on modified current statistical model for vehicle positioning |
| topic | Singer model current statistical model vehicle positioning fuzzy adaptive extended Kalman filter |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.07.021/ |
| work_keys_str_mv | AT zhenhongshao fuzzyadaptivealgorithmbasedonmodifiedcurrentstatisticalmodelforvehiclepositioning AT wenfeng3li fuzzyadaptivealgorithmbasedonmodifiedcurrentstatisticalmodelforvehiclepositioning AT yiwu fuzzyadaptivealgorithmbasedonmodifiedcurrentstatisticalmodelforvehiclepositioning AT qiongyang fuzzyadaptivealgorithmbasedonmodifiedcurrentstatisticalmodelforvehiclepositioning AT lianfengshen fuzzyadaptivealgorithmbasedonmodifiedcurrentstatisticalmodelforvehiclepositioning |