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BDS/GPS Dual Systems positioning Based on the Modified SR-UKF algorithm

SENSORS 2016年第5期16卷 635-635页

作者： Kong, JaeHyok Mao, Xuchu Li, Shaoyuan Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn 800 Dongchuan St Shanghai 200240 Peoples R China

The Global Navigation Satellite System can provide all-day three-dimensional position and speed information. Currently, only using the single navigation system cannot satisfy the requirements of the system's reliability and integrity. In order to improve the reliability and stability of the satellite navigation system, the positioning method by BDS and GPS navigation system is presented, the measurement model and the state model are described. Furthermore, the modified square-root Unscented Kalman Filter (SR-UKF) algorithm is employed in BDS and GPS conditions, and analysis of single system/multi-system positioning has been carried out, respectively. The experimental results are compared with the traditional estimation results, which show that the proposed method can perform highly-precise positioning. Especially when the number of satellites is not adequate enough, the proposed method combine BDS and GPS systems to achieve a higher positioning precision.

关键词： Global Navigation Satellite System (GNSS) positioning algorithm modified square-root Unscented Kalman filter (modified SR-UKF) BeiDou navigation System (BDS)

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Subjective Evaluation of Three Headphone-Based Virtual Sound Source positioning Methods Including Differential Head-Related Transfer Function

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ARCHIVES OF ACOUSTICS 2016年第3期41卷 437-447页

作者： Storek, Dominik Rund, Frantisek Marsalek, Petr Czech Tech Univ Dept Radioelect Tech 2 Prague 16627 Czech Republic

This paper analyses the performance of Differential Head-Related Transfer Function (DHRTF), an alternative transfer function for headphone-based virtual sound source positioning within a horizontal plane. This experimental one-channel function is used to reduce processing and avoid timbre affection while preserving signal features important for sound localisation. The use of positioning algorithm employing the DHRTF is compared to two other common positioning methods: amplitude panning and HRTF processing. Results of theoretical comparison and quality assessment of the methods by subjective listening tests are presented. The tests focus on distinctive aspects of the positioning methods: spatial impression, timbre affection, and loudness fluctuations. The results show that the DHRTF positioning method is applicable with very promising performance;it avoids perceptible channel coloration that occurs within the HRTF method, and it delivers spatial impression more successfully than the simple amplitude panning method.

关键词： virtual positioning virtual reality positioning method positioning algorithm head-related transfer function amplitude panning

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A crowdsourcing-based global indoor positioning and navigation system

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PERVASIVE AND MOBILE COMPUTING 2016年 31卷 94-106页

作者： Jung, Suk-hoon Lee, Sangjae Han, Dongsoo Korea Adv Inst Sci & Technol Dept Comp Sci 291 Daehak Ro Daejeon 305701 South Korea

This paper presents three key techniques to realize a global indoor positioning system (GIPS), and a global in- and-outdoor integrated navigation system (GINS). A crowdsourcing radio map construction method, a positioning algorithm for crowdsourced radio maps, and an indoor and outdoor environment detection method are developed as the three key techniques. The developed techniques have been integrated into a crowdsourcing-based indoor positioning system, named KAILOS, aiming to realize the GIPS and GINS. The system was deployed at KAIST, Daejeon campus, and now an in- and-outdoor integrated navigation service is available at KAIST campus area. The successful launch of KAILOS foretells that the GIPS and GINS are becoming a reality. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Global indoor positioning and navigation Radio map positioning algorithm Crowdsourcing

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Indoor positioning System Using Wi-Fi & Bluetooth Low Energy Technology 13

Indoor Positioning System Using Wi-Fi & Bluetooth Low Energy...

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13th IEEE and IFIP International Conference on Wireless and Optical Communications Networks (WOCN)

作者： Varshney, Vibhu Goel, Rajat Kant Qadeer, Mohammed Abdul Aligarh Muslim Univ Dept Comp Engn Aligarh 202002 Uttar Pradesh India

ISBN: (纸本)9781467389754

In the era of wireless communication, almost every other person uses a smartphone not only for traditional calling, but for multiple services. Wi-Fi based services have been on rise, and Wi-Fi signals are omnipresent nowadays. Exploiting the feature of Wi-Fi signal detection from android smartphones, we built an app for user positioning in indoor environment. For testing purposes, we use pre-installed Wi-Fi access points and Beacon devices based on Bluetooth Low Energy (BLE) technology in our department for indoor positioning at the department. Using the classical RSSI based trilateration algorithm, we improved upon the location estimation using gradient descent over error function. We then analyze the results of location estimation with actual measurement of distances.

关键词： Indoor positioning RSSI positioning algorithm error minimization Wi-Fi based positioning Bluetooth Low Energy android application

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A Practical, Robust and Fast Method for Location Localization in Range-Based Systems

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SENSORS 2017年第12期17卷 2869-2869页

作者： Huang, Shiping Wu, Zhifeng Misra, Anil South China Univ Technol State Key Lab Subtrop Bldg Sci Guangzhou 510640 Guangdong Peoples R China China Univ Min & Technol State Key Lab Coal Resources & Safe Min Xuzhou 221116 Peoples R China Guangdong Commun Polytech Sch Informat Guangzhou 510650 Guangdong Peoples R China Univ Kansas Civil Environm & Architectural Engn Lawrence KS 66045 USA

Location localization technology is used in a number of industrial and civil applications. Real time location localization accuracy is highly dependent on the quality of the distance measurements and efficiency of solving the localization equations. In this paper, we provide a novel approach to solve the nonlinear localization equations efficiently and simultaneously eliminate the bad measurement data in range-based systems. A geometric intersection model was developed to narrow the target search area, where Newton's Method and the Direct Search Method are used to search for the unknown position. Not only does the geometric intersection model offer a small bounded search domain for Newton's Method and the Direct Search Method, but also it can self-correct bad measurement data. The Direct Search Method is useful for the coarse localization or small target search domain, while the Newton's Method can be used for accurate localization. For accurate localization, by utilizing the proposed Modified Newton's Method (MNM), challenges of avoiding the local extrema, singularities, and initial value choice are addressed. The applicability and robustness of the developed method has been demonstrated by experiments with an indoor system.

关键词： location localization indoor localization positioning algorithm Newton's Method

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Vehicle Localization and Velocity Estimation Based on Mobile Phone Sensing

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IEEE ACCESS 2016年 4卷 803-817页

作者： Chen, Chi-Hua Lee, Chi-Ao Lo, Chi-Chun Chunghwa Telecom Co Ltd Telecommun Labs Taoyuan 32661 Taiwan Natl Chiao Tung Univ Dept Informat Management & Finance Hsinchu 300 Taiwan

In recent years, smart devices have become ubiquitous. Many of these devices are equipped with global positioning system (GPS), Wi-Fi, and other sensors. With their high mobility, the idea of mobile devices as probes has been attracting more and more attention. Mobility and flexibility offered by smart mobile devices are what traditional fixed sensors lack. However, mobile devices' power supplies are quite limited. Although GPS is accurate, its high power consumption somewhat limits its accessibility and sustainability. In contrast, Wi-Fi is less power hungry, but at the same time, less accurate. For the sake of sustainability, by adopting Wi-Fi as an alternative to GPS, longer operation is attainable at the cost of losing some degree of accuracy. In this paper, a Wi-Fi-based algorithm based on log-normal probability distribution of distances with respect to received signal strength is proposed. It is suitable for an outdoor environment, where Wi-Fi access points (APs) are abundant. Simulations are conducted over known AP locations, and results show that the proposed algorithm can save, on average, as much as 35% more battery power than GPS does. The average localization error is similar to 18 m, and the average velocity estimation error is similar to 25%.

关键词： Mobile phone sensing Wi-Fi-based localization received signal strength indicator log-normal distribution positioning algorithm

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A Survey on the Research of Indoor RFID positioning System

A Survey on the Research of Indoor RFID Positioning System

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2nd International Conference on Cloud Computing and Security (ICCCS)

作者： Shen, Jian Jin, Chen Liu, Dengzhi Nanjing Univ Informat Sci & Technol Jiangsu Engn Ctr Network Monitoring Nanjing Jiangsu Peoples R China Nanjing Univ Informat Sci & Technol Jiangsu Collaborat Innovat Ctr Atmospher Environm Nanjing Jiangsu Peoples R China Nanjing Univ Informat Sci & Technol Jiangsu Technol & Engn Ctr Meteorol Sensor Networ Nanjing Jiangsu Peoples R China Nanjing Univ Informat Sci & Technol Sch Comp & Software Nanjing Jiangsu Peoples R China

ISBN: (纸本)9783319486741;9783319486734

The success of the Global positioning System (GPS) makes the demand for location-based services increase rapidly. However, in the indoor environment, since the reception of the satellite signal is disrupted severely, the accuracy of GPS positioning can not meet the requirements. Radio Frequency Identification (RFID) technology with the advantages of non-contact, non-visibility, low cost and high positioning accuracy, begins to get more and more attention and becomes the most suitable indoor positioning technology. RFID location is a technique which is based on signal strength positioning, using the received signal strength indication (Received Signal Strength Indicator,RSSI) to determine the position of the object. In recent years, the indoor positioning technology has made great progress, especially on the verity of the localization algorithm. In this paper, we will briefly describe the basic principles of RFID, then we introduce the algorithms of existing indoor RFID positioning system. Finally, we analyze their strengths and weaknesses.

关键词： RFID positioning algorithm Security RSSI Indoor positioning

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Uniformity measurements and new positioning algorithms for wavelength-shifting fiber neutron detectors

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NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 2014年 751卷 55-61页

作者： Wang, C. L. Riedel, R. A. Oak Ridge Natl Lab Neutron Sci Directorate Instrument & Source Div Oak Ridge TN 37831 USA

Wavelength-shifting (WLS) fiber scintillator detectors were successfully installed at two neutron powder diffractometers at the Spallation Neutron Source (SNS). However, they have the following second-order disadvantages: (i) they cannot have both high efficiency and images free of ghosting (position misassignment) concurrently;(ii) the apparent detection efficiency and spatial resolution are not uniform. These issues are related to the diffusion of scintillation photons and the fluctuation in the number of photons (quantum noise) collected by photo-multiplier tubes (PMTs). To mitigate these two issues, we developed two statistics-based positioning algorithms. i.e., a centroid algorithm (CEA) and a correlation algorithm (CA). Compared with the generally used maximum-photon algorithm (MPA), the CEA eliminates the ghosting with only about a 10% loss in detection efficiency, and provides better uniformity in detection efficiency and intrinsic background and lower gamma-ray sensitivity. The CA can effectively eliminate ghosting too, but the loss of efficiency at the group boundaries of PMTs is large. The results indicate that both algorithms can reduce the influence of quantum noise on the neutron positioning. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Wavelength-shifting fiber neutron detector Neutron diffraction Quantum noise Non-uniformity positioning algorithm Gamma-ray sensitivity

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Wireless Sensor Network Achieved by Automatic positioning System Node

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INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING 2015年第2期8卷 93-104页

作者： Yang Zhongguo Cai Tianfang Zaozhuang Inst Coll Mech & Elect Engn Tianjin 277160 Peoples R China

In application of wireless sensor network, the position information of sensor node is crucial within life cycle in the whole network. In order to design algorithm of node positioning with high-efficiency, high-precision and low-consumption, this paper puts forward using the encryption algorithm of space control node originally applied in field of engineering measurement, by using SDI algorithm ( space and distance intersection algorithm) as three-dimensional position algorithm used in system to achieve three-dimensional automatic positioning calculation of distributed nodes. Test proves that this kind of algorithm has better positioning nature and higher precision;it is used as three-dimensional positioning because it has good engineering application value.

关键词： Wireless sensor network automatic positioning of node beacon node positioning system positioning algorithm

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Improved algorithm on Wide Range positioning for Partial Discharge in Substation

Improved Algorithm on Wide Range Positioning for Partial Dis...

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3rd International Conference on Energy, Environment and Sustainable Development (EESD 2013)

作者： Wang Xi-ran Liu Huai-dong He Yi-fan Zhao Qi-ming Wu He Tianjin Univ Sch Elect Engn & Energy Tianjin 300072 Peoples R China

ISBN: (纸本)9783037859728

This paper proposes a Improved positioning algorithm of electrical partial discharge applied for substations. This algorithm is based on received signal strength indication, and taken practical condition of sensors into consideration by replenishing beacon nodes. Compared with traditional trilateral weighting positioning algorithm, this paper introduces indefinite amount of localization perpendicular lines and combined them with trilateral districts to calculate the weighting result, which can reduce error. This model meets the requirement of reality that the height of electrical discharge spots differentiate from the height of the plane formed by beacon nodes (signal sensors). The experimental result indicates that the revised position model proposed by this paper can effectively fit the condition of monitoring hardware. Error of this algorithm is less than that of traditional trilateral localization.

关键词： Partial discharge positioning algorithm Wide range External sensor Improved weighted method

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