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These years, WLAN-based positioning technology developed rapidly due to the limitation of GPS in ”city canyon”. Some people try to apply the indoor fingerprint positioning technology in the outdoor environment. Unfortunately, they ignore the difference between the indoor and outdoor environment and can't achieve preferable results. Considering more complex factors in outdoor environment, we propose...
Location fingerprinting for outdoor areas using existing wireless local area network infrastructure is growing rapidly in importance and gains commercial interests in location-based services. The most challenge in outdoor fingerprint positioning is the fluctuation of received signal strength (RSS). In the paper, we propose a micro-cell-based radio map construction method targeted to deal with the...
In recent years, the demand of ubiquitous computing and location-based services (LBS) has risen. The most challenge in LBS is the location of mobile terminals. Existing location techniques have poor performance in urban environments due to severe multipath and NLOS propagation. Fingerprint localization based on wireless-LAN (WLAN) has been preferred for those types of environments. Although location...
In WLAN-based fingerprint positioning systems, the data preprocessing before applying the matching algorithm is important for improving the accuracy. In this paper, an effective preprocessing scheme is proposed to improve selection methods of reference point (RP) and access point (AP). The spatial filter is used to select RPs, and APs are decided in the principle of minimal redundancy. The experiment...
Reliable and real-time location information is important for location-based services (LBS) of the mobile terminals. Existing location techniques have poor performance in urban environments due to severe multipath and NLOS propagation. Fingerprint localization based on wireless-LAN (WLAN) has been preferred for those types of environments. However, the most challenge in fingerprint positioning is the...
Location tracking for vehicle plays a key role in increasing road safety and transportation efficiency. In this paper, a Wi-Fi based real-time tracking system which can work in both indoor and outdoor environments is presented. The proposed system estimates the location of vehicle using the Received Signal Strength (RSS) fingerprints of transmitted Wi-Fi Access Points (APs) and Particle Filter (PF)...
Providing an anytime, ubiquitous and reliable vehicular positioning system plays a key role in increasing road safety and transportation efficiency. Although the Global Positioning System (GPS) has been widely used in vehicle navigation, urban vehicle positioning is still a challenge because of the unavailability of GPS in dense metropolitan areas. To solve this problem, an advanced integration of...
Recently, fingerprint positioning systems for urban areas using the existing wireless-LAN (WLAN) play important role in ubiquitous applications. The most challenge in fingerprint positioning is how to reduce the number of training samples and high time consumption with no significant degradation in location accuracy. To deal with this problem, we propose a micro-cell-based radio map construction method...
In this paper, a novel algorithm called Receding Horizon Kalman Particle Filter (RHKPF) has been proposed and is applied to our improved fingerprint-based WLAN vehicle positioning system. The RHKPF is a particle filter that the optimal importance density is approximated by incorporating the most current measurement through a Receding Horizon Kalman Filter (RHKF), for that the RHKF is believed to be...
Reliable and accurate vehicle position information is important for autonomous systems. The increased popularity of wireless networks has enabled the development of positioning techniques that rely on WLAN signal strength. Fingerprint architecture is one of the most viable solutions for Received Signal Strength (RSS)-based positioning. The most challenging aspect of the fingerprint based method is...
Traffic can reflect the latent rules and characteristics of the wireless network. Through researching, we found that the more accurate traffic prediction, the higher efficiency, utilization rate of network bandwidth and QoS can be guaranteed. Therefore, how to construct predictive models of wireless network traffic exactly is a major research topic. In this paper, Minimax Probability Machine Regression...
This paper presents a method to integrate Wi-Fi networks with global positioning system (GPS) and dead reckoning (DR) system for tracking a vehicle in the urban areas by using the federated form of unscented Kalman filer (UKF) and Kalman filer (KF). Due to non-line-of-sight conditions and multipath propagation environments, the estimation of the GPS/DR integrated positioning system lacks acceptable...
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