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Shadowing Cancellation and Iterative Newton-Gradient Algorithm for UAV-Assisted Localization
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OA
AI
DOI：10.1109/LCOMM.2021.3112291.png)
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摘要
En 中文
In this letter, we study the localization of a mobile ground-user via received-signal-strength, where N unmanned-aerial-vehicles (UAVs) are deployed as anchors. Due to the movements of anchors and user, the path-loss exponent is time-varying and has to be estimated properly following the cancellation of the shadowing effect. A problem is formulated to estimate the time-varying path-loss exponent and the distance between each anchor and user, however it is non-convex. In order to obtain accurate estimations, we propose to break the problem into two sub-tasks. A filter is first designed by least-mean-square method. Then, a Newton-gradient algorithm is proposed to iteratively find the estimations of the path-loss exponent and the distance. The effectiveness of the proposed method is verified by numerical simulations.
Keyword:
Received-signal-strength (RSS)
shadowing effect and path-loss exponent
unmanned-aerial-vehicles (UAV)-assisted localization
期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
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