New fuzzy-based indoor positioning scheme using ZigBee wireless protocol

Nabih, Azza K.; Osman, H.; Gomaa, Mostafa M.; Aly, Gamal M.

doi:10.1109/icces.2012.6408476

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Using the probability density function (PDF) of bluetooth APs, dynamic calibration based on fuzzy theory [7] could calibrate the positioning points. Fuzzy levels are determined by applying the K-means algorithm giving the LQI distribution as input using ZigBee wireless protocol [8]. In [9], radio-map establishment based on fuzzy clustering is designed for WLAN hybrid KNN/ANN indoor positioning.…”

Section: Introductionmentioning

confidence: 99%

A smartphone-based indoor positioning system using fuzzy theory and WLAN mapping algorithm

Jiang

Huang

et al. 2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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As we all know, the accuracy of GPS become worse indoors due to the satellite signal attenuation. However, people spend most of his or her time in the indoor environment and the location-based service is needed in the indoor environment. Hence, many indoor positioning techniques have been researched to provide location-based service for visitors in public buildings such as museums, galleries, etc. However, the distinguish of human's moving patterns and initial position detection are two difficult problems in Pedestrian Dead Reckoning (PDR) system. Therefore, A smartphone-based indoor positioning system (called Improved Pedestrian Dead Reckoning, IPDR) using fuzzy theory and WLAN mapping algorithm is presented to solve these problems. In our proposed system, we propose a method called fuzzy step length detection which can distinguish five different human's moving patterns and handle various ways of holding the phone. The WLAN mapping algorithm could calculate the initial position. Calibrated position can be obtained from the IPDR position and the mapping position from WLAN map acquired in advance. The performance of our IPDR system is verified via a set of simulations and the result is positive.

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Section: Introductionmentioning

confidence: 99%

A smartphone-based indoor positioning system using fuzzy theory and WLAN mapping algorithm

Jiang

Huang

et al. 2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

View full text Add to dashboard Cite

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“…In addition, it is also well recognized that there exist many surveys on various positioning systems in the literature such as WiFi [13,14], UWB [15,16], RFID [17,18], Zigbee [19,20], and Image-Based Location (IBL) [21,22], among others. However, most of them require a fundamental facility to support their detection.…”

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confidence: 99%

An Improved PDR/Magnetometer/Floor Map Integration Algorithm for Ubiquitous Positioning Using the Adaptive Unscented Kalman Filter

Wang

et al. 2015

IJGI

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Abstract:In this paper, a scheme is presented for fusing a foot-mounted Inertial Measurement Unit (IMU) and a floor map to provide ubiquitous positioning in a number of settings, such as in a supermarket as a shopping guide, in a fire emergency service for navigation, or with a hospital patient to be tracked. First, several Zero-Velocity Detection (ZDET) algorithms are compared and discussed when used in the static detection of a pedestrian. By introducing information on the Zero Velocity of the pedestrian, fused with a magnetometer measurement, an improved Pedestrian Dead Reckoning (PDR) model is developed to constrain the accumulating errors associated with the PDR positioning. Second, a Correlation Matching Algorithm based on map projection (CMAP) is presented, and a zone division of a floor map is demonstrated for fusion of the PDR algorithm. Finally, in order to use the dynamic characteristics of a pedestrian's trajectory, the Adaptive Unscented Kalman Filter (A-UKF) is applied to tightly integrate the IMU, magnetometers and floor map for ubiquitous positioning. The results of a field experiment performed on the fourth floor of the 2639School of Environmental Science and Spatial Informatics (SESSI) building on the China University of Mining and Technology (CUMT) campus confirm that the proposed scheme can reliably achieve meter-level positioning.

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A Novel Fuzzy Pedestrian Dead Reckoning System for Indoor Positioning Using Smartphone

Zheng

Jiang

et al. 2015

2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)

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New fuzzy-based indoor positioning scheme using ZigBee wireless protocol

Cited by 3 publications

References 11 publications

A smartphone-based indoor positioning system using fuzzy theory and WLAN mapping algorithm

A smartphone-based indoor positioning system using fuzzy theory and WLAN mapping algorithm

An Improved PDR/Magnetometer/Floor Map Integration Algorithm for Ubiquitous Positioning Using the Adaptive Unscented Kalman Filter

A Novel Fuzzy Pedestrian Dead Reckoning System for Indoor Positioning Using Smartphone

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