Precision Wireless Positioning Scheme in Small Range Based on First-Order Difference and Correlation Inspection

2013 ◽  
Vol 6 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Zhengping Li ◽  
Ziren Wang ◽  
Yongmei Zhang ◽  
Li Ma
Keyword(s):  
Matched Filter ◽  
Development Trend ◽  
Small Range ◽  
Positioning System ◽  
Signal Source ◽  
Order Difference ◽  
Wireless Location ◽  
First Order ◽  
Positioning Method ◽  
Wireless Positioning

This paper made analysis of present situation and development trend of the positioning in small range at first and then made summary about the technologies and algorithms of the positioning in small range. According to the above content, wireless location technology has broad application prospects, especially the applications related to the location in small range. This new wireless positioning scheme mainly aims at improving the positioning method based on time difference of arrival (TDOA) in small range. This paper designs an improved positioning system which uses matched filter to calculate TDOA value. Then the system estimated the position of signal source by Chan's algorithm and used the first-order difference method to optimize the positioning results. From the simulation results by Matlab, it can be seen that this improved positioning system has improved the positioning accuracy and met the demand of the high precision positioning.

Design and Implementation of Positioning System Based on Smart Space for Intelligent Wheelchair

2012 ◽  
Vol 220-223 ◽  
pp. 929-933 ◽  
Author(s):  
Jun Cai ◽  
Shuang Long Zhang ◽  
Yi Zhang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Positioning System ◽  
Test Results ◽  
Smart Space ◽  
Wireless Location ◽  
Intelligent Wheelchair ◽  
Positioning Method ◽  
Network Platform

In this paper, a positioning system based on smart space wireless sensor network platform is designed and a positioning method of RSSI-based wireless sensor network is studied. The intelligent wheelchair as a blind node in the smart space positioning system is used to collects adjacent the reference node coordinates and RSSI value. The blind node coordinates can be calculated by CC2431 location engine to achieve a wireless location. The test results show that: positioning error of the node is about 1 meter, so it has the potential to satisfy the application of the intelligent wheelchair indoor positioning.

scholarly journals A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Liang Zhao
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Real Time ◽  
Difference Method ◽  
Building Energy ◽  
Energy Monitoring ◽  
Order Difference ◽  
Energy Data ◽  
First Order ◽  
Novel Method

This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time. The principle and criterion of methodology are discussed in detail. The results show that outlier in cumulative power consumption could be detected by our method.

scholarly journals An Indoor Positioning System Using Multiple Methods and Tools

2018 ◽  
Vol 4 (1) ◽  
pp. 11-22
Author(s):  
Michael Adeyeye Oshin ◽  
Nobaene Sehloho
Keyword(s):  
Wireless Mesh Network ◽  
Ad Hoc ◽  
Indoor Positioning ◽  
Mesh Network ◽  
Positioning System ◽  
Tracking Systems ◽  
Positioning Systems ◽  
Wireless Mesh ◽  
Positioning Method ◽  
Indoor Positioning System

With many different studies showing a growing demand for the development of indoor positioning systems, numerous positioning and tracking methods and tools are available for which can be used for mobile devices. Therefore, an interest is more on development of indoor positioning and tracking systems that are accurate and effective. Presented and proposed in this work, is an indoor positioning system. As opposed to an Ad-hoc Positioning System (APS), it uses a Wireless Mesh Network (WMN). The system makes use of an already existing Wi-Fi infrastructure technology. Moreover, the approach tests the positioning of a node with its neighbours in a mesh network using multi-hopping functionality. The positioning measurements used were the ICMP echos, RSSI and RTS/CTS requests and responses. The positioning method used was the trilateral technique, in combination with the idea of the fingerprinting method. Through research and experimentation, this study developed a system which shows potential as a positioning system with an error of about 2 m to 3 m. The hybridisation of the method proves an enhancement in the system though improvements are still required.

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