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Optimization WIFI indoor positioning KNN algorithm location-based fingerprint

机译:优化WIFI室内定位KNN算法基于位置的指纹。

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Location-based services have been deep into all aspects of life and it provides a convenient and efficient service experience for people. Currently, technology is relatively mature and widely used in the outdoor positioning. By contrast, for indoor positioning, although there are a lot of hot technology, but they are mostly insufficient lead to it is hard to popularize. So how to improve the popularity of indoor positioning in the case of improve the positioning accuracy has became a hot research topoc. This paper analyzes and studies several typical fingerprint localization algorithm, including NN, KNN and WKNN, and then propose an algorithmic improvement program, it introduces signal propagation model, finds and narrows the K-gon.
机译:基于位置的服务已深入到生活的各个方面,并为人们提供了便捷,高效的服务体验。目前,技术相对成熟,广泛应用于户外定位。相比之下,对于室内定位,虽然有很多热门技术,但它们大多不足,导致难以推广。因此,在提高定位精度的情况下如何提高室内定位的普及度已成为研究的热点。本文分析并研究了几种典型的指纹定位算法,包括NN,KNN和WKNN,然后提出了一种算法改进程序,引入了信号传播模型,找到并缩小了K-gon。

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