DocumentCode
498750
Title
Radio interferometric Quasi Doppler bearing estimation
Author
Sallai, János ; Völgyesi, Péter ; Lédeczi, Ákos
Author_Institution
Inst. for Software Integrated Syst., Vanderbilt Univ., Nashville, TN, USA
fYear
2009
fDate
13-16 April 2009
Firstpage
325
Lastpage
336
Abstract
The paper introduces a novel technique for the bearing estimation of radio sources that can be used for the precise localization and/or tracking of RF tags such as wireless sensor nodes. It is well known that the bearing to a radio source can be estimated by an array of antennas typically arranged in a circular manner. The method is often referred to as quasi-Doppler measurement. The disadvantage of the existing method is that the receiver is relatively large because of the multiple antennas (typically 8 or 16) and it is computationally intensive to process the high frequency radio signals. Thus, it cannot be done on small, inexpensive radio tags. Instead, we propose to use the array on the transmitter side utilizing as few as three antennas. We use a radio interferometric technique to transform the useful phase information from the high frequency radio signal to a low frequency signal (< 1 kHz) that can be processed on low-cost hardware. Utilizing three anchors nodes with small antenna arrays, any number of low cost wireless nodes with single antennas can be accurately localized.
Keywords
Doppler measurement; antenna arrays; direction-of-arrival estimation; radio direction-finding; wireless sensor networks; RF tag localization; RF tag tracking; antenna array; bearing estimation; high frequency radio signal processing; phase information; quasiDoppler measurement; radio interferometry; radio receiver; radio source; single antenna; wireless sensor network; Antenna arrays; Antenna measurements; Direction of arrival estimation; Quasi-doping; RF signals; Radio frequency; Radio interferometry; Receivers; Signal processing; Wireless sensor networks; Localization; Ranging; Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
978-1-4244-5108-1
Electronic_ISBN
978-1-60558-371-6
Type
conf
Filename
5211920
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