2.2 LPS Classification Due to their diversity, LPS schemes can be categorized from different perspectives .The classification could be based on various criteria like methodology, dependency on equipment’s, operating scenarios, targeted users and outputs. Here we categorize indoor localization systems along three dimensions. First, we consider the output of a localization system which is usually generalized as locations or positions, but actually could be divided into different groups. Most common outputs include: • Absolute positions: Positions with coordinate’s information which could be directly mapped to physical space. The absolute location could either be represented in discrete space as cells or grids or in continuous space …show more content…
When the absolute positions of RP are known, the absolute position of user could be given. • Inertial navigation system (INS): A common navigation method widely used on vehicles like ships and aircrafts which continuously calculate the position and orientation of objects by dead reckoning (DR) without the need of external RP. • Signaturing: System utilizing user identifications or spatial signatures corresponding to environmental characteristics or artificial landmarks to localize, which could be based on various technologies including RFID, motion detections, optoacoustic and humiture sensors. • Fingerprinting: Constructing a fingerprint map which would be queried explicitly for localization. Often referred as but different from signaturing, fingerprinting provides finer grained mapping of fingerprints to absolute positions instead of logical positions. The vast development of mobile computing, wireless and sensing technologies provides various platforms and tools for localization systems for general or specific scenarios, and fertilize the diversity of LPS. It is necessary to examine technologies and platforms that localization systems are based on. A commonly used platform for LPS includes: • Sensors: The most diverse and abundant group of technologies found
The Global Positioning System (GPS) is a constellation of twenty four satellites that can pinpoint any position on earth using a GPS receiver. Used to calculate exact position, speed and time, there are tremendous
In our project, we are trying to provide an embedded wireless system by using the Army base stations can monitor the health of soldiers using wireless body area sensor networks such as temperature sensor, heart beat sensor, etc. Base stations can also track the location of soldiers by using Global positioning system (GPS)
The use of smartphone technology has created concerns of location information being stolen without proper notification of the user. Geolocation technology is a very useful tool but it involves sensitive information, so ways
This essay examines the question: How does GPS rely on geometry and trigonometry now that there are satellites? Has the function of geometry and trigonometry in triangulation and navigation changed since satellites were
The Global Positioning System, commonly referred to as the GPS, is one of the greatest innovations that truly revolutionized the way we function in the 21st century. It’s a space based satellite navigation system that uses 27 satellites and a wide range of networks of powerful computers used to send signals down to earth. These signals carry a time code and geographical data point that allows the user to pinpoint their exact position, speed and time anywhere on the planet. Centuries ago, explorers used clues such as the position of the sun during the day as a means of navigating but these left explorers helplessly lost.
GPS is the most modern technology or system used for surveying. GPS receiver and Measuring tape are instruments to be used.
Several technologies are available for the purpose of localizing a person. A GPS is locator/receiver available on most smart phones and can be used to roughly locate a user. However, it comes with its drawback. The GPS is unavailability indoors. Its usage is limited inside buildings and places unreachable by satellite signal.
In this paper [1] authors Wan Young Chung et al tells us that there is many security issues rises with the improvement in technology for location tracking of indoor objects. The technology is accurate around 5~10 cm. this technology is used in a large number of fields like hospital, vehicle navigation etc. all the information’s about objects in the environment are gather to a base station using RF and Ultrasonic
A number of different wireless technilogies have been developed for inddor localisation like Infra Red , Ultra Sound , RFID , WLAN, Bluetooth etc.Before the various positioning systems are discussed, we examine a few of the wireless localisation positioning algorithms developed to inproe the accuracy of localisation.
This paper puts some focus on the role spatial data plays in emerging wireless applications. Due to the increase in the number of smartphones and other mobile terminals, we are capable of measuring large numbers of different properties of the surrounding environment, and information on the performance of the wireless networks themselves is becoming available through new information gathering interfaces, mobile phones are moving and distributed all over is likely to make them a dominant source of sensing information either directly from the sensors that can be embedded into the terminal equipment or as a mobile gateway that works as a data relay for other sensing
From the outlined image, the system selects the coordinates whose intensity values as 1. It allocates these values to a new variable, namely, intcoord. From this step, we assume that i and j are the two intcoord values. The next step is to calculate the distance from the origin of both these intcoord values using the following formula.
Nowadays, most of the mobile devices equipped with variety of different sensors such as positioning sensors (GPS), accelerometers, light sensors , gyroscope sensor and so on. Moreover, the growth in the popularity of mobile devices and also advances in communication and processing technologies, provide opportunity for creating a new platform to sense different attributes of environment in large scale areas without requiring any infrastructure which called crowdsensing in the literature[1].
In most tracking methods, Kalman Filter (KF) and its extensions such as Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF) and the particle filter are used. These algorithms assume that the motion of a moving target can be described by a dynamic model. There are many data collection methods that the position of nodes can be estimated using them. Some of these methods, use the distance between
The development of location-aware technologies in recent decades has made it possible to use data obtained from smartphones’ various sensors for transportation planning purposes. GPS sensors, Cellular network signals and Wi-Fi are the most referred source of data in related literature.
Normally we know that position information is a 3-D parameter in a relative coordinate frame. While, many relative positioning systems are only able to provide the relative position in one or two dimensions like the driving car we talked above. The laser scanner uses a rotating mirror around the vertical axis to scan the surrounding environment in the azimuth angle can provide a 2-D relative position ignored the vertical parameter. Cooperative solutions based on Global Navigation Satellite System (GNSS) are able to deliver a full 3D relative position between vehicles. Ultra-Wideband system is only able to estimate the range between vehicles, but not the exact 2- or 3-D position by measure the round-trip delay of signals emitted from the ego vehicle and returned by other vehicles.