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Placement and Concise MSE Lower-Bound for UAV-Enabled Localization via RSS

Zhou, Fasheng*; Fan, Lisheng; Tang, Jie; Chen, Wei
Science Citation Index Expanded
广州大学; 清华大学

摘要

We consider an unmanned-aerial-vehicle (UAV) enabled localization system with one typical ground user in a circular area under non-line-of-sight channels, where N UAVs are deployed as anchors to localize the user via received signal strength. Our objective is to minimize the average (localization) mean-square-error (MSE) in the area by optimizing the anchors' placement. To this end, we first derive a concise lower-bound of MSE with fixed user position. Then, for the user uniformly distributing in the circular area, we prove that deploying the UAV anchors with symmetrical horizontal-angles and same distance to the area center can minimize or almost minimize the MSE lower-bound, whereas such distance needs to be determined, neither increasing nor decreasing it can always improve the average MSE. A problem to find such distance is formulated and furthermore converted to a form that can be solved by one-dimensional search, based on which, we propose to deploy the anchors where the minimum MSE lower-bound is achieved for minimizing MSE. The effectiveness of the proposed placement is verified by numerical studies.

关键词

Location awareness Global Positioning System Wireless communication Shadow mapping Random variables Numerical simulation Mathematical models Anchor placement localization received signal strength (RSS) unmanned-aerial-vehicle (UAV)