| Citation: | XU Tian, HE Jingsha, ZHU Nafei, et al. VWKNN location fingerprint positioning algorithm based on improved discrete coefficient[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(7): 1242-1251. doi: 10.13700/j.bh.1001-5965.2021.0019(in Chinese)
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The location fingerprint algorithm is the main method to study the indoor positioning technology, and the online matching algorithm is one of the main factors affecting the indoor positioning accuracy. At present, the matching algorithms in online stage include the nearest neighbor algorithm, K-nearest neighbor algorithm and weighted K-nearest neighbor algorithm. However, these three algorithms do not take into account the influence of the fluctuation of AP signal on the positioning result. In order to improve the matching algorithm in online stage, a weighted K-nearest neighbor algorithm based on the improved discrete coefficient is proposed. In offline stage the purpose is to establish a fingerprint database, in the online stage using discrete coefficient to reflect the stability of the various AP signal and treat the anchor point with weighted Euclidean distance between the reference point, calculate all the weighted Euclidean distance, choose the nearest
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