Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning

Brkovic, Milenko; Simić, Mirjana

doi:10.1155/2014/986061

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…Location-based mobile applications leverage GPS technology embedded in devices to determine the current user location [ 2 , 3 ]. There are several different technologies for providing different ranges of location-based services using mobile communication devices, including Wi-Fi finger printing, wireless sensor networking, and WLAN for indoor positioning, as well as a small range of outdoor positions [ 4 – 8 ]. However, GPS has become the best and foremost outdoor positioning system for the wide range of location-based services [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation

Islam

Kim

2014

The Scientific World Journal

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Positioning accuracy is a challenging issue for location-based applications using a low-cost global positioning system (GPS). This paper presents an effective approach to improving the positioning accuracy of a low-cost GPS receiver for real-time navigation. The proposed method precisely estimates position by combining vehicle movement direction, velocity averaging, and distance between waypoints using coordinate data (latitude, longitude, time, and velocity) of the GPS receiver. The previously estimated precious reference point, coordinate translation, and invalid data check also improve accuracy. In order to evaluate the performance of the proposed method, we conducted an experiment using a GARMIN GPS 19xHVS receiver attached to a car and used Google Maps to plot the processed data. The proposed method achieved improvement of 4–10 meters in several experiments. In addition, we compared the proposed approach with two other state-of-the-art methods: recursive averaging and ARMA interpolation. The experimental results show that the proposed approach outperforms other state-of-the-art methods in terms of positioning accuracy.

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Section: Introductionmentioning

confidence: 99%

An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation

Islam

Kim

2014

The Scientific World Journal

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“…Navigation has been used since ancient days. Over the time, the sources of the navigation systems have evolved from the sun and stars to the modern day navigation sensors [ 1 – 3 ]. Modern navigation has been utilizing the various sensors to locate the position of a vehicle for fleet management, location based service, asset tracking, intelligent vehicle control, and so forth [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors

Amin

Reaz

Nasir

et al. 2014

The Scientific World Journal

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Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90% and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system.

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A Centroid-GPS Model to Improving Positioning Accuracy for a Sensitive Location-Based System

Islam

Kim

2015

Ubiquitous Computing Application and Wireless Sensor

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Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning

Cited by 6 publications

References 10 publications

An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation

An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation

A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors

A Centroid-GPS Model to Improving Positioning Accuracy for a Sensitive Location-Based System

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