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2007, 2007 IEEE Globecom Workshops
This workshop paper gives an overview of local positioning and tracking principles for wireless sensor networks including recent results of the European project RESOLUTION (Reconfigurable Systems for Mobile Local Communication and Positioning). Measurements of a first demonstrator applying a frequency modulated continuous wave (FMCW) radar principle are presented. The unlicensed ISM band around 5.8 GHz, 150 MHz bandwidth and less than 25mW effective isotropic radiated transmit power are used. Excellent 3-D positioning accuracies in the order of 4 cm in an anechoic chamber and 18 cm in a conference hall with strong multipath and area of 800 m 2 are measured. Furthermore, the results of optimized radio frequency integrated circuits and a suitable compact flash card are outlined.
2006
RESOLUTION aims at developing a wireless threedimensional (3-D) local positioning system with measurement accuracy in the centimetre regime and real-time ability. A novel frequency modulated continuous wave (FMCW) radar principle with pulsed active reflector is employed. This High-Precision-Localisation-System (HPLS) will be implemented together with common WLAN systems that are used for data communication purposes.
2007 16th IST Mobile and Wireless Communications Summit, 2007
RESOLUTION aims at developing a wireless threedimensional (3-D) local positioning system with measurement accuracy in the centimetre regime and real-time ability. A novel frequency modulated continuous wave (FMCW) radar principle with pulsed active reflector is employed. This High-Precision-Localisation-System (HPLS) will be implemented together with common WLAN systems that are used for data communication purposes.
2005
A look at positioning aspects of future sensor networks.
EURASIP Journal on Advances in Signal Processing, 2006
received the Ph.D. degree in 1995 with distinction and the German Habilitation degree in 2000, both from Gerhard Mercator University Duisburg and in electrical engineering. In the summer of 2005 he joined Stanford's Smart Antenna Research Group (SARG) as a Visiting Professor. Now he holds a Chair on communication systems at the University of Hannover, Germany, and is the Founder of the spin-off company mimoOn GmbH. He has published more than 100 papers and has coedited four books on ultra-wideband and smart antenna systems. He is the founding Editor-in-Chief of the IEEE Signal Processing Society E-Letter. His research interest focuses on applied signal processing with emphasis on multiantenna systems, especially its applicability to ultra-wideband systems.
IEEE Transactions on Instrumentation and Measurement, 2000
An ultrawideband 3-D positioning technique is described here for locating wireless sensor nodes in extreme multipath environments. These typically form part of a network of sensors used to monitor salient parameters such as temperature and humidity in large industrial storage vessels. The novelty of this approach is twofold. First, a leading ultrawideband pulse edge detection method is combined with a series of spatially diverse measurements to isolate the line-of-sight component from the unwanted multipath interference from the vessel walls. Second, a new location algorithm based on the statistical analysis of spherical function intersection points is applied to the received time-domain data to improve the estimation of the time of flight at each measurement location. These two features combine to facilitate both precision positioning and cumulative error source estimation and yield resolutions approaching 2 cm in rich scattering environments. The results of the application of the new spherical technique compares favorably with those obtained using a conventional hyperbolic positioning method where it was demonstrated to provide a marginally superior resolution for the applied experimental conditions.
A sensor network is a large ad hoc network of densely distributed sensors that are equipped with low power wireless transceivers. Such networks can be applied for cooperative signal detection, monitoring, and tracking, and are especially useful for applications in remote or hazardous locations. This paper addresses the problem of location discovery at the sensor nodes, which is one of the central design challenges in sensor networks. Many existing systems and protocols attempt to solve the problem of determining a node's location within its environment. Others attempt to solve the problem of detection and tracking moving targets. The approaches taken to solve both localization problems differ in the assumptions that they make about their respective network (the way of deployment, network topology) and device capabilities. These include assumptions about device hardware, signal propagation models, timing and energy requirements, network makeup (homogeneous vs. heterogeneous), the nature of the environment (indoor vs. outdoor), node or beacon density, time synchronization of devices, communication costs, error requirements, and device mobility. Different localization algorithms are represented with their environment assumption (for both indoor and outdoor). Future research directions and challenges for improving node localization in wireless sensor networks are also discussed.
Looking at increasing freq trend; what's the implication… suppose we have a spec an….
Ad Hoc & Sensor …, 2009
2004
With the recent development in wireless communication devices and low power electronics systems, it is possible to have a wireless network consisting of nodes equipped with sensors and antennas, ie a sensor network [19]. The nodes of the sensor network can work both independently and cooperatively. The possible tasks for sensor network are extremely broad, ranging from communication to sensing physical variables. In Fig.
2008
In this paper we address the problem of localizing, tracking and navigating mobile nodes associated to operators acting in a fixed wireless sensor network (WSN) using only RF information. We propose two alternative and somehow complementary strategies: the first one is based on an empirical map of the Radio Signal Strength (RSS) distribution generated by the WSN and on the stochastic model of the behavior of the mobile nodes, while the second one is based on a maximum likelihood estimator and a radio channel model for the RSS. We compare the two approaches and highlight pros and cons for each of them. Finally, after implementing them into two real-time tracking systems, we analyze their performance on an experimental testbed in an industrial indoor environment.
IEEE Signal Processing Magazine, 2005
A look at positioning aspects of future sensor networks.
2000
This paper presents a new method for rectifying low ambient radiation sources to supply autonomous measurement systems such as microsystems. An impedance transformation with high quality factor (Q) in front of a Schottky-Diode using a quartz resonator at 24 MHz is presented. In addition to an analytic computation and nonlinear simulation of the rectifier circuit with Advanced Design System (ADS)
Proceedings of the ImmersCom, 2007
The increasing interest in systems able to provide users with immersive services (e.g., domotics, context-aware applications, and immersive distance learning tools) has encouraged the development of cheap and effective platforms aimed at tracking objects and people within a certain space. In this context, wireless sensor networks (WSNs) can play a very important role, since specialized sensors can be fruitfully exploited in order to generate/receive signals by means of which the WSN can derive the position of nodes joined to the objects to be tracked. The paper presents an original localization platform that exploits a single-hop WSN, based on a Microchip MCU and a Cypress RF device, to track its moving nodes. Specifically, the nodes of the network are divided into three sets: the first set consists of anchor nodes that, according to the commands from the sink (the central node of the WSN), generate ultrasonic pulses. These pulses are received by the second set of (moving) nodes, which estimate the pulse time trip and communicate it to the sink. Finally, the last set is constituted by general purpose nodes that collect any kind of data from the surrounding field. The sink gathers all the data, computes the position of moving nodes, and transfers information to external users on the Internet. The algorithms adopted to manage the network and to localize moving nodes are discussed. A working prototype based upon the hardware platform, software, and protocol described in this paper has been deployed and tested, and some results are shown. Simulation results of the localization system are presented to show system scalability.
2007
The real-world implementation of a just theoretically elaborated idea is sometimes cumbersome, often a couple of obstacles have to be overcome. That's likewise in the area of Wireless Sensor Networks (WSN), but complicated by some further restrictions, e.g. little memory or low power consumption. One well-known and often required application within WSN is the geographical localization of several sensor nodes. That's why this paper deals with some problems arising during the development of a WSN using the time difference of arrival (TDoA) of ultrasound and radio signals for positioning. Its focus is on handling of microcontroller difficulties like little memory, low computational power or low energy consumption as well as hardware driven failures like inaccurate measurements or node failures.
Sensor radars (SRs) are important for a variety of applications requiring passive tracking of moving targets. The accuracy of passive tracking is severely degraded by wireless propagation impairments such as multipath, clutter, and non line-of-sight conditions, especially in indoor environments. These impairments can be alleviated by exploiting the multiple sensing and smart processing of radar signals. In this letter, we aim to illustrate the dependence of sensor topologies, waveform processing methods, and tracking algorithm parameters on SR performance. A case study involving both monostatic and multistatic ultra-wideband SRs for indoor environments is presented by jointly considering the wireless medium, ranging technique, and tracking algorithm.
2007
This paper describes the current efforts to develop an open source, privacy sensitive, location determination software component for mobile devices. Currently in mobile computing, the ability of a mobile device to determine its own location is becoming increasingly desirable as the usefulness of such a feature enhances many commercial applications. There have been numerous attempts to achieve this from both the network positioning perspective and also from the wireless beacon angle not to mention the integration of GPS into mobile devices. There are two important aspects to consider when using such a system which are privacy and cost. This paper describes the development of a software component that is sensitive to these issues. The ICiNG Location Client (ILC) is based on some pioneering work carried out by the Place Lab Project at Intel. (Hightower et al., 2006) The ILC advances this research to make it available on mobile devices and attempts to integrate GSM, WiFi, Bluetooth and ...
2012 IEEE International Conference on RFID-Technologies and Applications (RFID-TA), 2012
An accurate ranging system based on FMCW (Frequency Modulated Continuous Wave) Radar is presented. The system ensures a centimetre precision even in environments with high multipath, such as warehouses packed with metallic objects or extremely dusty sites where conventional RF, laser, ultrasonic or video technologies present severe limitations. The proposed solution has been experimentally applied in Automatic Guided Vehicle for warehouses. The architecture of the system and the obtained results are presented in detail.
Journal of Positioning, Navigation, and Timing
A positioning method using radio frequency (RF) was used to identify the location of soldiers in emergency during the World War II for the first time. In the Vietnam War, a global positioning system (GPS) was introduced. Since then, GPS has been used in various commercial areas from 1990s. Although GPS is the most widely used positioning system in outdoor environments, it is limited to be used in indoor environments (Pahlavan et al. 2002, Sayed et al. 2005, Fang & Lin 2008). Thus, it is highly important to develop indoor positioning technologies using RF (Sayed et al. 2005). Indoor positioning technologies can be utilized in various fields such as commercial, military, and public safety (Gustafsson & Gunnarsson 2005). For example, in commercial fields, demand on tracking locations of children, the elderly, and visually impaired people has increased consistently in
2011
A wideband radio location system for 3D applications with high precision is introduced. For different test scenarios, the system is evaluated with respect to precision, resolution, and reproducibility. Based on ultra wideband direct sequence spread spectrum transmission at 24GHz, the radio location system shows high robustness against interference as well as suppression of the effects of reflections. Distance measurements are processed in a two-stage Kalman filter allowing object tracking with millimeter accuracy even in highly reflective scenarios.
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