文章基本信息

标题：Enhanced Hydroacoustic Range Robustness of Three-Stage Position Filter based on Long Baseline Measurements with Unknown Wave Speed * * This work is supported by the Center of Autonomous Marine Operations and Systems (AMOS), grant no. 223254.
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作者：Erlend K. Jørgensen ; Erlend K. Jørgensen ; Tor A. Johansen 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：23
页码：61-67
DOI：10.1016/j.ifacol.2016.10.322
语种：English
出版社：Elsevier
摘要：Abstract: This paper considers the problem of constructing a globally convergent position-and velocity estimator with close-to-optimal noise properties using hydroacoustic long baseline measurements. Three ways of improving the range robustness of the three stage filter for long baseline measurements with unknown wave speed are suggested. One addition is employing depth measurements in addition to pseudo-range measurements, thus increasing range noise robustness and relaxing requirements for transponder placement from not co-planar to not co-linear. Furthermore, a Kalman Filter with a linear measurement model is used, instead of a pseudo-linear time-varying measurement model and a step solving an optimization problem is also added. The proposed scheme is validated through simulation and compared to a standard Extended Kalman Filter and a perfect (non-implementable) Linearized Kalman Filter using real states as linearization point. Simulations suggest that the improved three stage filter will have similar stationary performance as the EKF while having significantly better transient performance and stability subjected to inaccurate initial estimates.
关键词：KeywordsPositioning systemsAsymptotic stabilityKalman filteringXKFLBL