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Position estimation using Time of Arrival (ToA), Time Difference of Arrival (TDoA), and Angle of Arrival (AoA) measurements are the commonly used location techniques. These techniques, using location parameters received from different sources, are based on intersections of circles, hyperbolas, and lines, respectively. The location is determined usi...
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... It allows setting the size of the data which will be considered in the calculation. Moreover, setting the iteration number allows knowing in advance the size of manipulated words and simplifying the coding development. In this context, 16-bit words are used where 7 bits represent the integer part and 9 bits define the fractional part as shown in Fig. ...Similar publications
This paper presents a vector topology of a monolithic microwave integrated circuit (MMIC) capable of performing several radiofrequency (RF) functionalities essential for future wireless communications and geolocation in the millimeter frequency band. The proposed circuit can address several usage modes such as conventional frequency heterodyning fo...
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... EToA is an extended version of ToA designed by simplifying the recursive and intensive computing of the localization process [15]. In EToA, the computing process is only performed by the MS with a view to improving handover latency. ...
Advances in localization-based technologies and the increase in ubiquitous computing have led to a growing interest in location-based applications and services. High accuracy of the position of a wireless device is still a crucial requirement to be satisfied. Firstly, the rapid development of wireless communication technologies has affected the location accuracy of radio monitoring systems employed locally and globally. Secondly, the location is determined using standard complex computing methods and needs a relatively long execution time. In this paper, two geolocalization techniques, based on trigonometric and CORDIC computing processes, are proposed and implemented for Bluetooth-based indoor monitoring applications. Theoretical analysis and simulation results are investigated in terms of accuracy, scalability, and responsiveness. They show that the proposed techniques can locate a target wireless device accurately and are well suited for timing estimation.
... EToA is an extended version of ToA designed by simplifying the recursive and intensive computing of the localization process [15]. In EToA, the computing process is only performed by the MS with a view to improving handover latency. ...
Advances in localization-based technologies and the increase in ubiquitous computing have led to a growing interest in location-based applications and services. High accuracy of the position of a wireless device is still a crucial requirement to be satisfied. Firstly, the rapid development of wireless communication technologies has affected the location accuracy of radio monitoring systems employed locally and globally. Secondly, the location is determined using standard complex computing methods and needs a relatively long execution time. In this paper, two geolocalization techniques, based on trigonometric and CORDIC computing processes, are proposed and implemented for Bluetooth-based indoor monitoring applications. Theoretical analysis and simulation results are investigated in terms of accuracy, scalability, and responsiveness. They show that the proposed techniques can locate a target wireless device accurately and are well suited for timing estimation.
... Thus, the search for a cost-effective localization method which guarantees high precision in real time is required in various WSN applications such as public safety, industrial applications, and military surveillance [1,2]. In order to guarantee high-precision localization, range-based localization methods have been proposed [3,4]. In range-based localization methods, the system uses extra equipment that estimates the location of an unknown node by measuring the distance or the angle between a number of anchor nodes and the unknown node. ...
... On the other hand, since the range-free localization method estimates the location without the measurement of the distance or the angle, the method can reduce system complexity and create a cost-effective localization system which guarantees the real-time operation more easily. The representative schemes for the range-free localization are centroid localization (CL), the approximate point-in-triangulation test (APIT), knowledge-based positioning, distance vector (DV)-hop, and range-free AoA [3][4][5]. Since the sensor node must consider power consumption as well as system complexity, almost all of the localization algorithms will require a simple structure and a rapid processing speed. Thus, the CL algorithm is considered as an effective method to meet the requirements of the localization system in WSNs among the various localization algorithms. ...
In wireless sensor networks, accurate location information is important for precise tracking of targets. In order to satisfy hardware installation cost and localization accuracy requirements, a weighted centroid localization (WCL) algorithm, which is considered a promising localization algorithm, was introduced. In our previous research, we proposed a test node-based WCL algorithm using a distance boundary to improve the localization accuracy in the corner and side areas. The proposed algorithm estimates the target location by averaging the test node locations that exactly match with the number of anchor nodes in the distribution map. However, since the received signal strength has large variability in real channel conditions, the number of anchor nodes is not exactly matched and the localization accuracy may deteriorate. Thus, we propose an intersection threshold to compensate for the localization accuracy in this paper. The simulation results show that the proposed test node-based WCL algorithm provides higher-precision location information than the conventional WCL algorithm in entire areas, with a reduced number of physical anchor nodes. Moreover, we show that the localization accuracy is improved by using the intersection threshold when considering small-scale fading channel conditions.
In indoor environments, the KNN algorithm is useful for positioning method. The conventional KNN algorithm, however, is unsuitable in disaster scenarios because user devices receive distorted information. To solve this problem, we first recognize whether a disaster situation happens or not, and perform KNN algorithm after elimination of mal-function Wi-Fi(s). Also, we solve inherent large amount of data problem of the KNN algorithm by using DCT (Discrete Cosine Transform)/ Quantization compression method, and analyze the positioning accuracy and capacity reduction ratio of the proposed method through intensive simulations.
From a system perspective, cost effectiveness and high-precision location information are important in wireless sensor networks (WSNs). Since a weighted centroid localization (WCL) algorithm can reduce hardware installation cost and guarantee localization accuracy, this algorithm is considered as one of the promising localization algorithms for WSNs. In this paper, we propose a test node-based WCL algorithm for improving the localization accuracy and making the localization system cost effective. The simulation results show that the proposed test node-based WCL algorithm provides higher precision location information than the conventional WCL algorithm with a reduced number of real anchor nodes.
