Nonlinear fault detection threshold optimization method for RAIM algorithm using a heuristic approach
文献类型：期刊论文
| 作者 | He, Pan ; Liu, Gang; Tan, Chun; Lu, Yan-e
|
| 刊名 | GPS SOLUTIONS
 |
| 出版日期 | 2016-10-01 |
| 卷号 | 20期号:4页码:863-875 |
| 关键词 | Integrity monitoring Fault detection Optimization model Genetic algorithm GPS system RAIM algorithm |
| ISSN号 | 1080-5370 |
| DOI | 10.1007/s10291-015-0494-9 |
| 通讯作者 | He, P (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu Hitech Ind Pk, Chongqing, Peoples R China. |
| 英文摘要 | The threshold value used in receiver autonomous integrity monitoring algorithms to identify faults has a significant impact on positioning integrity and GPS/GNSS availability. The value is usually selected empirically or under certain distribution assumptions; its calculation for a non-Gaussian test statistic has not been solved. For fault detection methods using a particle filter, a new heuristic method is proposed to select an appropriate fault detection threshold value using an optimization model. In this method, a non-Gaussian cumulative log likelihood ratio (LLR) value is used as the test statistic. Its threshold is determined using an integrity risk minimization problem with an availability constraint. Since there is no closed form for this optimization model, a genetic algorithm with a local search strategy is adopted to find a near-optimal solution. Experimental results show that this method can be used to compute the non-Gaussian fault detection threshold value subject to different availability constraints. Comparisons with empirical and distribution-based methods indicate that while meeting the same probability for false-alert constraint, the probability of missed detection in the optimized approach is much lower than for other methods, especially for small numbers of errors. Since the cumulative LLR value does not exhibit obvious statistical features for any distribution, the performance of our optimized approach is stable for different test cases and satellite data sets. |
| 资助项目 | National Natural Science Foundation of China[61309005] ; doctoral West Light Foundation of the Chinese Academy of Sciences |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000384421600024 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/2841]  |
| 专题 | 北斗导航工程中心 |
| 通讯作者 | He, Pan |
| 作者单位 | Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu Hitech Ind Pk, Chongqing, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Pan,Liu, Gang,Tan, Chun,et al. Nonlinear fault detection threshold optimization method for RAIM algorithm using a heuristic approach[J]. GPS SOLUTIONS,2016,20(4):863-875. |
| APA | He, Pan,Liu, Gang,Tan, Chun,&Lu, Yan-e.(2016).Nonlinear fault detection threshold optimization method for RAIM algorithm using a heuristic approach.GPS SOLUTIONS,20(4),863-875. |
| MLA | He, Pan,et al."Nonlinear fault detection threshold optimization method for RAIM algorithm using a heuristic approach".GPS SOLUTIONS 20.4(2016):863-875. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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