Considering the low indoor positioning accuracy and poor positioning stability of traditional
machine-learning algorithms, an indoor-fingerprint-positioning algorithm based on weighted …

Indoor Positioning System has opportunity to be used in different business platform. Based
on past research, optimized localization method for Bluetooth Low Energy (BLE) to predict …

In the past few decades, wireless indoor positioning systems, especially signal strength
fingerprint technology, have become the subject of major research efforts. However, most …

The fingerprint positioning (FP) algorithm has been investigated extensively owing to the fact
that it can provide a relatively ideal indoor positioning result. However, the effectiveness of …

This paper introduces the standard particle swarm optimization (SPSO) algorithm to
fingerprint positioning. To reduce the computation amount, the estimated position from the …

There are many factors affecting Wi-Fi signal in indoor environment, among which the
human body has an important impact. And, its characteristic is related to the user's …

-nearest neighbors (KNN) algorithms are widely used for indoor fingerprint positioning, but
conventional KNN algorithms usually adopt received signal strength (RSS) similarity as a …

The K-means fingerprint algorithm can improve the accuracy of indoor positioning. However,
the randomness of the initial clustering center and the empirical set of the clusters number of …

Localization and tracking of personnel and equipment are technical issues that urgently
need to be solved for Indoor positioning. To improve the accuracy and environmental …

The complex indoor environment makes the use of received fingerprints unreliable as an
indoor positioning and localization method based on fingerprint data. This paper proposes …