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• W2892780306 abstract "This paper deals with the problem of state estimation for the transfer alignment of airborne distributed position and orientation system (distributed POS). For a nonlinear system, especially with large initial attitude errors, the performance of linear estimation methods will degrade. In this paper, a nonlinear smoothing algorithm called the unscented particle smoother (UPS) is proposed and utilized in the off-line transfer alignment of airborne distributed POS. In this algorithm, the measurements are first processed by the forward unscented particle filter (UPF) and then a backward smoother is used to achieve the improved solution. The performance of this algorithm is compared with that of a similar smoother known as the unscented Rauch-Tung-Striebel smoother. The simulation results show that the UPS effectively improves the estimation accuracy and this work offers a new off-line transfer alignment approach of distributed POS for multiantenna synthetic aperture radar and other airborne earth observation tasks." @default.
• W2892780306 created "2018-10-05" @default.
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• W2892780306 date "2018-09-30" @default.
• W2892780306 modified "2023-10-14" @default.
• W2892780306 title "Unscented Particle Smoother and Its Application to Transfer Alignment of Airborne Distributed POS" @default.
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• W2892780306 doi "https://doi.org/10.1155/2018/3898734" @default.
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