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Radio Map Interpolation Using Graph Signal Processing
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DOI：10.1109/LCOMM.2017.2762318.png)
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摘要
En 中文
Interpolating a radio map is a problem of great relevance in many scenarios such as network planning, network optimization, and localization. In this letter, such a problem is tackled by leveraging recent results from the emerging field of signal processing on graphs. A technique for interpolating graph structured data is adapted to the problem at hand by using different graph creation strategies, including ones that explicitly consider NLOS propagation conditions. Extensive experiments in a realistic large-scale urban scenario demonstrate that the proposed technique outperforms other traditional methods, such as IDW, RBF, and model-based interpolation.
Keyword:
Radio map interpolation
graph signal processing
fingerprinting localization
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期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
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