Despite the great attention that the research community has paid to the creation of novel
indoor positioning methods, a rather limited volume of works has focused on the confidence …

To exploit the complementary strengths of WiFi positioning, pedestrian dead reckoning
(PDR), and landmarks, we propose a novel fusion approach based on an extended Kalman …

In dense indoor wireless networks, handoffs occur frequently. The criteria to trigger handoffs
are not defined by the IEEE 802.11 standard, thus being specific to each manufacturer's …

Association instability is a common phenomenon in dense networks. The decision of
whether or not to perform a handoff between access points in an infrastructured IEEE 802.11 …

The primary expectation from positioning systems is for them to provide the users with
reliable estimates of their position. An additional piece of information that can greatly help …

This paper proposes a modified fingerprinting hybrid location algorithm for homogeneous
and heterogeneous indoor environment. The new method is designed based on …

Fingerprint positioning is a main stream and key technique for seamless positioning
systems. In this paper, we develop a performance evaluation testbed for fingerprint based …

基于地面辅助基站(ATC) 的星地融合网络(MSS-ATC) 具有覆盖范围广, 用户体验佳的特点,
切换机制是该融合网络主要研究的问题之一. 针对卫星链路时延大, 卫星网用户速度范围广的 …

Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …

Association instability is a common phenomenon in dense networks. The decision of
whether or not to perform a handoff between access points in an infrastructured IEEE 802.11 …