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Dynamic model-based filtering for mobile terminal location estimation
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DOI：10.1109/TVT.2003.814219.png)
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摘要
En 中文
Mobile terminal location is an important area of research because of its applications in location-sensitive browsing and resource allocation. This paper presents a method for reducing the error in mobile terminal location estimation. A preprocessor using nonparametric estimation,is used to reduce the effects, of non-line-of-sight and multipath propagation on the location procedure model-based dynamic filter is presented that uses an accurate model, of mobile terminal motion to combine, information on from location measurements made at different time instances together to create an improved location estimate. The model of mobile terminal motion has a kinematic, state space model describing the physical ruled governing terminal motion and a control model that describes the human control input into the motion process. Location dependency in the control input model is used to derive a new dynamic filter. This filter provides greatly improved accuracy over previously known location techniques and is much more robust to variations in the mobile terminal motion and nonlinear effects in method propagation environment.
Keyword:
cellular land mobile radio
filters
position location
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期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
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