DocumentCode
138726
Title
OFDM-based distributed estimation for rich scattering environments
Author
Santucci, Robert ; Banavar, Mahesh ; Sai Zhang ; Spanias, A. ; Tepedelenlioglu, Cihan
Author_Institution
SenSIP Center, Arizona State Univ., Tempe, AZ, USA
fYear
2014
fDate
8-9 Sept. 2014
Firstpage
1
Lastpage
5
Abstract
A preliminary investigation has been conducted into the use of orthogonal frequency-division multiple-access for distributed estimation. The key difference from previous work in the literature is that the channels between the sensors and the fusion center contain multiple paths with time lags, amplitudes, and phase rotations due to fading. Orthogonal frequency-division multiplexing has been proven to be an effective modulation scheme in the presence of multipath channels, and thus has been utilized in these experiments. This estimation system was designed to operate in a heavily scattered environment where synchronizing the transmitters and developing channel statistics has proven difficult to achieve. Sensors measure a signal in noise, modulate the measured data over an OFDM subcarrier, and transmit this to a fusion center over a Gaussian multiple-access channel. The transmissions are received at the fusion center using an OFDM receiver, and the estimation process is completed. Simulations demonstrate the effectiveness of the technique.
Keywords
Gaussian channels; OFDM modulation; channel estimation; frequency division multiple access; multipath channels; sensor fusion; synchronisation; Gaussian multiple-access channel; OFDM receiver; OFDM subcarrier; OFDM-based distributed estimation system; amplitudes; channel statistics; fusion center; modulation scheme; multipath channels; orthogonal frequency-division multiple-access; orthogonal frequency-division multiplexing; phase rotations; rich scattering environments; sensor measure; time lags; transmitter synchronization; Channel estimation; Estimation; Noise measurement; OFDM; Rician channels; Sensor fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Signal Processing for Defence (SSPD), 2014
Conference_Location
Edinburgh
Type
conf
DOI
10.1109/SSPD.2014.6943311
Filename
6943311
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