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- W2811095525 abstract "A vital problem with location fingerprinting is the considerable workload and time cost by the fingerprint location technology under the non-line-of-sight environment in the indoor. This paper proposed a fingerprint database construction algorithm which combining Latin hypercube sampling and Kriging interpolation to solve these problems. The algorithm optimizes the sample size before interpolation based on modified traditional Latin hypercube sampling which solve marginal “pessimistic” problem. Then, an improved Kriging interpolation combined with the basic loss model of signal intensity is used to establish the database. The performance of the proposed algorithm is verified by using K-nearest neighbor location. The simulation results show that the proposed algorithm not only ensures the location accuracy, but also reduces the time cost and workload about 60%, and the minimum error as low as 10 cm." @default.
- W2811095525 created "2018-07-10" @default.
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- W2811095525 date "2018-06-28" @default.
- W2811095525 modified "2023-09-23" @default.
- W2811095525 title "Construction Algorithm of 3D Location Fingerprint Database" @default.
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- W2811095525 doi "https://doi.org/10.1007/s13319-018-0177-8" @default.
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