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PL
W artykule przedstawiono działanie zestawu do geolokalizacji wewnątrz budynku produkcji DecaWave, model DWM1001, korzystającego z transmisji UWB (Ultra Wide Band). Opisano sposób komunikacji pomiędzy elementami systemu, a także możliwe konfiguracje systemu. Szczegółowo omówiono działanie wybranej konfiguracji systemu.
EN
The article presents the operation of the DecaWave geolocation kit, inside the building, model DWM1001, using UWB (Ultra Wide Band) transmission. It describes the communication between system components as well as possible system configurations. The operation of the selected system configuration is discussed in detail.
PL
W artykule opisano architekturę systemu lokalizacji osób w budynku oraz projekt i implementację interaktywnych paneli zlokalizowanych przy wejściach do pomieszczeń biurowych. Panel informuje użytkowników o aktualnej lokalizacji osoby oraz dostarcza dodatkowych informacji udostępnionych przez daną osobę takich jak danych kontaktowych, terminarz spotkań itp.
EN
This article describes the architecture of a location system of people in the building. It also presents the design and implementation of interactive panels located at the office rooms entrances. These panels inform users about current location of the person using the office and provide additional information made available by the person, such as contact details, appointment schedule, etc.
EN
This paper presents statistical analysis of RSSI readouts recorded in indoor environment. Many papers concerning indoor location, based on RSSI measurement, assume its normal probability density function (PDF). This is partially excused by relation to PDF of radio-receiver's noise and/or together with influence of AWGN (average white Gaussian noise) radio-channel – generally modelled by normal PDF. Unfortunately, commercial (usually unknown) methods of RSSI calculations, typically as "side-effect" function of receiver's AGC (automatic gain control), results in PDF being far different from Gaussian PDF. This paper presents results of RSSI measurements in selected ISM bands: 433/868 MHz and 2.4/5 GHz. The measurements have been recorded using low-cost integrated RF modules (at 433/868 MHz and 2.4 GHz) and 802.11 WLAN access points (at 2.4/5 GHz). Then estimated PDF of collected data is shown and compared to normal (Gaussian) PDF.
EN
This paper compares accuracy of indoor positioning systems using one of three selected ISM bands: 433, 868 or 2400 MHz. Positioning is based on Received Signal Strength Indication (RSSI), received by majority of ISM RF modules, including lowcost ones. Investigated environment is single, indoor space (e.g. office, hall) and personal use, thus 2-dimensional (2D) coordinate system is used. Obtained results, i.a. average positioning error, are compared with similar measurements taken at outdoor, open space environment. The system is local, i.e. its operational area is limited by range of used RF modules – typical a few tens of meters. The main focus is research of how much accuracy (and usefulness) can be expected from standard RF modules working at typical ISM frequencies.
EN
This paper presents comparison of prototype location system built with standard components of 2.4 and 5 GHz WLAN network infrastructure. The system can be used for personal or other objects’ positioning, both for indoor and outdoor environments. The system is local, i.e. its operational area is limited to WLAN network operating range. The system is based on standard and widely available WLAN components (access points, network adapters). The goal is to avoid any hardware and software modifications. Also position calculation should not be power hungry operation. Method of location is based in Received Signal Strength Indication (RSSI) returned by most of RF ICs (including WLAN). The main focus is research of how much accuracy (and usefulness) can be expected from standard WLAN hardware. Both static and dynamic scenarios have been tested and compared.
6
Content available Fuzzy logic in indoor position determination system
EN
The article outlines how to use the convergence of collections to determine the position of a mobile device based on the WiFi radio signal strength with the use of fuzzy sets. The main aim is the development of the method for indoor position determination based on existing WiFi network infrastructure indoors. The approach is based on the WiFi radio infrastructure existing inside the buildings and requires operating mobile devices such as smartphones or tablets. An SQL database engine is also necessary as a widespread data interface. The SQL approach is not limited to the determination of the position but also to the creation of maps in which the system dening the position of the mobile device will operate. In addition, implementation issues are presented along with the distribution of the burden of performing calculations and the benets of such an approach for determining the location. The authors describe how to decompose the task of determining the position in a client-server architecture.
PL
Omówiono zagadnienie dotyczące lokalizacji terminali wewnątrz budynków. Krótko przedstawiono zjawiska zachodzące w kanale radiowym oraz scharakteryzowano profile opóźniania mocy, jakie występują w takim środowisku. Opisano techniki lokalizacji terminali, jakie mogą zostać zastosowane w tym specyficznym środowisku propagacyjnym oraz możliwości praktycznej realizacji systemów lokalizacji we wnętrzach z wykorzystaniem takich systemów, jak GNSS, UMTS, WLAN, WPAN oraz RFID.
EN
The paper deals with indoor location topic. At the begining issue of indoor channel propagation and power delay profiles was described. Next part of the paper includes description of indoor location techniques such as TOA, TDOA, and database correlation techniques. Practical realization of such indoor location system using GNSS, UMTS, WLAN, WPAN and RFID was also presented.
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