基于RSS空間線性相關(guān)的WLAN位置指紋定位算法
[Abstract]:A novel location fingerprint location algorithm based on linear correlation of RSS (received signal intensity) is proposed to solve the problem of instability of WLAN location fingerprint location due to the time-varying of RSS (received signal intensity) and the difference of signal receiving ability between different terminals. At each reference point, multiple groups of RSS samples were collected to form a feature matrix, and an off-line fingerprint database was constructed. By calculating the correlation between the real-time RSS matrix and the reference points of the fingerprint database, the most relevant k reference points are obtained, and the final position of the user is calculated by using the quadratic weighted centroid algorithm. In order to reduce the influence of time-varying signal effectively, filtering and sorting are carried out during sampling, and the number of samples is increased when constructing off-line fingerprint database, but it is necessary to aggregate the samples to adapt to the calculation of location correlation. The experimental results show that the algorithm not only ensures high localization accuracy, but also has better localization stability for different terminals.
【作者單位】: 杭州電子科技大學(xué)計(jì)算機(jī)學(xué)院;中浙信科技咨詢有限公司;
【基金】:國家青年科學(xué)基金資助項(xiàng)目(No.61602410)~~
【分類號(hào)】:TN925.93
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