دانلود رایگان مقاله لاتین الگوریتم تعیین اندازه برای سیستم تعیین موقعیت مبتنی بر اثر انگشت از سایت الزویر
عنوان فارسی مقاله:
الگوریتم تعیین اندازه نمونه برای سیستم های تعیین موقعیت داخلی مبتنی بر اثر انگشت
عنوان انگلیسی مقاله:
Sample Size Determination Algorithm for fingerprint-based indoor localization systems
سال انتشار : 2016
مقدمه انگلیسی مقاله:
1. Introduction
In the Internet of Things (IoT), several applications and scenarios envision the integration of a great variety of wireless technologies that will provide services based on the user behavior [15]. Such services often require the localization and tracking of the user in indoor environ- ments of smart cites (such as malls, hospitals, underground stations) and smart houses [1,9,14,28]. Fingerprint-based positioning is one of the mostpopular indoor localization techniques implemented by Real Time Localization Systems (RTLS). This technique typically utilizes the Received Signal Strength (RSS) to perform positioning. Other radio parameters can be also used or combined, such as Power Delay Profile (PDP), Angle of Arrival (AOA) etc. RTLS may also utilize non-radio parameters, such as inertial measurements or prior knowledge of environment constraints, in an aim to improve accuracy [11]. Fingerprint-based positioning requires the generation of a dataset of measurements,usually the RSS, during an off-line phase. This dataset, called radio-map, requires calibration before being utilized for the estimation of the user location during the on-line phase. Calibration is important in order to train and con- figure the positioning algorithms to perform better for the specific radio-map [17]. The calibration techniques use a sample of measurements, which is taken in the area of the indoor environment. The sample size, as well as the allocation of the samples in the area of interest, influence the overall accuracy of the localization system. A similar sample of measurements is also used for the performance evaluation of the system. The calibration and evaluation procedures are two important steps that are influenced by the quality of the sample measurements. Selecting a small sample size or a biased sample can result in misleading calibration parameters and a degraded accuracy during location estimation. On the other hand, large sample sizes are more time consuming and more expensive to carry out. To the authors best knowledge, no previous work exists for selecting the aforementioned sample sizes in fingerprintbased indoor localization systems. The main goal of this paper is to develop and suggest an algorithm that will de- fine the minimum sample size which will ensure correct calibration or training of the RTLS, and objective evaluation of the system’s performance.
کلمات کلیدی:
Analysis of K-Means algorithm on fingerprint based indoor localization ... ieeexplore.ieee.org/document/6689952/ by S Bai - 2013 - Cited by 7 - Related articles The collected fingerprints at the anchors in indoor localization system are clustered with corrected K-Means algorithm in order to reduce the computational. Trainingless fingerprinting-based indoor positioning algorithms with ... ieeexplore.ieee.org/document/6295537/ by I Bisio - 2012 - Cited by 9 - Related articles In this work a Wi-Fi fingerprint-based indoor positioning techniques is considered. ... accelerometers, compasses, and Global and Hybrid Positioning Systems ... Wi-Fi Fingerprint-based Indoor Positioning: Recent ... - IEEE Xplore ieeexplore.ieee.org/iel7/9739/5451756/07174948.pdf have focused on Wi-Fi fingerprint-based positioning system. Furthermore, we .... Traditional indoor localization algorithms [51] include de- terministic [2] and ... [PDF]A Fast and Precise Indoor Localization Algorithm Based on an Online ... www.mdpi.com/1424-8220/15/1/1804/pdf by H Zou - 2015 - Cited by 31 - Related articles Jan 15, 2015 - an indoor positioning system (IPS) to provide reliable and precise indoor ... Fingerprinting-based localization algorithms are widely adopted for ... Indoor Mobile Localization Based on Wi-Fi Fingerprint's Important ... https://www.hindawi.com/journals/ijdsn/2015/429104/ by P Jiang - 2015 - Cited by 13 - Related articles Mar 16, 2015 - Though Global Positioning System (GPS) can provide accurate and ... This paper proposes a Wi-Fi fingerprint-based positioning algorithm with ... [PDF]Why is fingerprint-based indoor localization still so hard? - DiVA liu.diva-portal.org/smash/get/diva2:729880/FULLTEXT02.pdf by B Viel - 2014 - Cited by 8 - Related articles Brieuc Viel and Mikael Asplund, Why is fingerprint-based indoor localization still so hard?,. 2014, IEEE ... localization system which provides a reasonable trade- off between the ... the Nearest Neighbors in Signal Space algorithm. However ...
