(PDF) Overview of Current Indoor Positioning Systems
8 Pages3386 Words163 Views
Added on 2021-06-15
(PDF) Overview of Current Indoor Positioning Systems
Added on 2021-06-15
ShareRelated Documents
Running head: INDOOR POSITIONING1Information technology - indoor positioningName:Institution Affiliation:
INDOOR POSITIONING2IntroductionIn this research it is about the extent of the reliability of the multiple sensors fusion for the indoor positioning. The positioning systems are used in locating numerous objects in the world. One of the location objects is the GPS. GPS is the system of the satellites radio transmitter which orbit on earth in great numbers; the main objective is to pinpoint the precise place to people or even virtually any the vessel which are built with a receiver transmitter which is within a small radius (Paul & Sato, 2017). It is therefore important to find an accurate as well as reliable system for the indoor positioning system. Indoor Positioning System has become the major sources to the accurate location information in the world (Paul & Sato, 2017). Having reliable as well as accurate location information could assist in the emergence of the services, recreation, tracking, navigation as wellas networking (Chen & Vadde, 2012). Several indoor positioning approaches have been suggested such as, radio frequency, fingerprinting approaches, motion sensor based pedestrian dead reckoning approaches and visual sensor (Chen & Vadde, 2012). Due to this aspect there arenumerous supplementary techniques which have been utilized such as Bluetooth, cellular, wireless internet as well as Radio Frequency ID to provide positioning to the indoor setting where the GPS do not function (Galván-Tejada, Carrasco-Jimenez & Brena, 2013). Reliability specifies how often the system could attain the accuracy which is the range across multiple locations (Jiaxing, 2017). As the positioning is the continuous real world process, the claimed accuracy is not all the time consistent to the actual accuracy at any given location or time. For instance, the performance of the performance of the consumer Grade GPS Receivers it could depends on the canopy cover as well as the availability that results to the variance in accuracy when it is in different setting (Jiaxing, 2017). According to the Skyhooks hybrid positioning system that combines the GPS, cellular signals as well as WiFi highlights that the core engine has an accuracy of ten meters and compare this kind of accuracy level to the GPS and A-GPS at ten and thirty meters. Reliability specifies how often the system could attain the accuracy which is the range across multiple locations (Jiaxing, 2017). As the positioning is the continuous real world process, the claimed accuracy is not all the time consistent to the actual accuracy at any given location or time. For instance, the performance of the performance of the consumer Grade GPS Receivers it could depends on the canopy cover as well as the availability that results to the variance in accuracy when it is in different setting (Jiaxing, 2017). According to the Skyhooks hybrid positioning system that combines the GPS, cellular signals as well as WiFi highlights thatthe core engine has an accuracy of ten meters and compare this kind of accuracy level to the GPSand A-GPS at ten and thirty meters. There is also aspect of accuracy which would be discussed in the research. Accuracy is regarded as the localization error distance. This is the distance which is between the actual and the calculated position (Li, Zhao, Ding, Gong, Liu & Zhao, 2012). The accuracy of the positioning system could vary depending to the localization technique and algorithm which is used. When choosing the implementing these techniques as well as algorithms, average of the coverage, cost of implementation and the calculation accuracy should be balanced. To most of the positioning technique, any increase in the accuracy is related to the additional power of
INDOOR POSITIONING3processing, equipment that is required or the increased system latency (Khoshelham & Zlatanova, 2016). This research will discuss aspects related indoor positioning technique and algorithms which are involved in localization. Some of these techniques usually involve various signal system such as cellular, and Bluetooth. The most common indoor positioning systems rely to the Wireless Internet signals from the routers (WiFi). While different algorithms utilizes signals in calculating position in different ways to each of them have strengths, and unique variable which impact on the accuracy (Li, Zhao, Ding, Gong, Liu & Zhao, 2012). For this research it would focus on the Blue tooth, Wi-Fi and the Magnetic fingerprints. First it is important to define various definitions to which are the main point of this paper these are reliability, and accuracy. To undertake this research has been motivated by the interest in the research on the indoor positioning technology. This field is diverse and not many individuals are away on some of thesetechnologies despite them used in every day applications. This research is of importance since it would add the knowledge based on the current indoor positioning techniques. Moreover, it would discuss on the issues which are related to the localization techniques. The significance to find accurate and more reliable systems for the indoor positioning system has been emerging from the shortage of the information, thus the research will help lessen on the gap and provide comprehensive information in relation to this field. 2.0 Literature review A review to the existing literature is carried out to support on the research work which is undertaken in this research topic. The review is about the existed research papers which would examine on the current study to understand the aspect missing which would be filled by this research. The literature is on different aspects within the research.2.1 Global Positioning SystemThere are numerous researches that have been done on the GPS. GPS is the global navigation satellite system to which decides the position to any target through measuring the propagation holdup from the signals from satellites to GPS receiver (Xiao, Ni & Toh, 2011). In the recent past, researchers have tested on wide array of systems to make an effort to develop on the preciseGPS signals to numerous applications that are under numerous traffic conditions. Lufeng Zhu et al (2011) did an analysis to acknowledge on the need to have more effective GPS data acquisition than the localized data collection that was generated from the traditional loop detectors. In this study they analyzed the conventional fast acquisition, and fast acquisition of GPS receiver aided and was offered INS information and signal was caught by spectrum zooming. On another research Kazuyuki & Ka Cheok (1998) they performed on the fuzzy logic Kalman filters sensor fusion technique. Within this study it was examined based on the theoretical background for the sensor fusion depending on the Kalman filtering and fuzzy logic scheme (Le Grand & Thrun, 2012). Validity to the technique was confirmed utilizing experimental data from a real automobile navigation around the urban areas. The leads to this pointed out approach to the automobile might be traced with high accuracy as well as repeatability despite limitations to GPS. However, this research has not combined on the
End of preview
Want to access all the pages? Upload your documents or become a member.