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Wykorzystanie technik kooperacyjnych do poprawy dokładności i precyzji lokalizacji w ultraszerokopasmowym systemie lokalizacyjnym

Kołakowski M., Michnowski R.

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

2016

nr 6

217--220, CD

W referacie zaprezentowano kooperacyjny algorytm wyznaczania położenia wykorzystywany w ultraszerokopasmowym systemie lokalizacyjnym. Algorytm ten wykorzystuje Filtr Kalmana jako narzędzie fuzji danych integrujące wyniki pomiarów TDOA i wyniki pomiarów odległości między etykietami. Referat zawiera opis algorytmu oraz wyniki jego badań symulacyjnych i eksperymentalnych.

The paper describes a cooperative algorithm intende for use in UWB positioning systems. The algorithm utilizes Kalman Filter to fuse results of TDOA and ranging measurements conducted by system tags. The paper contains algorithm description and results of simulational and experimental research.

A cooperative positioning algorithm for DSRC enabled vehicular networks

Efatmaneshnik M., Kealy A., Alam N., Dempster A.

Archiwum Fotogrametrii, Kartografii i Teledetekcji

2011

Vol. 22

117--129

Many of the safety related applications that can be facilitated by Dedicated Short Range Communications (DSRC), such as vehicle proximity warnings, automated braking (e.g. at level crossings), speed advisories, pedestrian alerts etc., rely on a robust vehicle positioning capability such as that provided by a Global Navigation Satellite System (GNSS). Vehicles in remote areas, entering tunnels, high rise areas or any high multipath/ weak signal environment will challenge the integrity of GNSS position solutions, and ultimately the safety application it underpins. To address this challenge, this paper presents an innovative application of Cooperative Positioning techniques within vehicular networks. CP refers to any method of integrating measurements from different positioning systems and sensors in order to improve the overall quality (accuracy and reliability) of the final position solution. This paper investigates the potential of the DSRC infrastructure itself to provide an intervehicular ranging signal that can be used as a measurement within the CP algorithm. In this paper, time-based techniques of ranging are introduced and bandwidth requirements are investigated and presented. The robustness of the CP algorithm to inter-vehicle connection failure as well as GNSS dropouts is also demonstrated using simulation studies. Finally, the performance of the Constrained Kalman Filter used to integrate GNSS measurements with DSRC derived range estimates within a typical VANET is described and evaluated.