Paper Info
Title
Ultra-Wideband Multicarrier Communication Receiver Based On Analog To Digital Conversion In The Frequency Domain
Abstract
This paper introduces an ultra-wideband multicarrier communication receiver based on analog to digital conversion (ADC) in the frequency domain. The samples of the spectrum of the received signal are used in the digital receiver to estimate the transmitted symbols through a matched filter operation in the discrete frequency domain. The proposed receiver is aimed at the reception of high information rates in a multicarrier signal with very large bandwidth. Thus, the receiver architecture provides a solution to some of the challenging problems found in the implementation of conventional wideband multicarrier receivers based on time-domain ADC, since it parallelizes the A/D conversion reducing the sampling rate. The receiver is also directly applicable to multicarrier ultra-wideband communication receivers. Additional advantages of the proposed receiver include the possibility of optimally allocating the available number of bits for the A/D conversion across the frequency domain samples, narrowband interference suppression that can be directly carried out in the frequency domain, and inherent robustness to frequency offset which makes it an attractive solution when compared with traditional multicarrier receivers.
Year
DOI
Venue
2005
10.1109/WCNC.2005.1424607
2005 IEEE Wireless Communications and Networking Conference, Vols 1-4: WCNC 2005: BROADBAND WIRELESS FOR THE MASSES READY FOR TAKE-OFF.
Keywords
Field
DocType
frequency domain,discrete frequency domain,time domain,frequency domain analysis,spectrum,matched filters,information rate,digital circuits,sampling methods,bandwidth,matched filter,frequency offset,radio receivers,ultra wideband
Frequency domain,Wideband,Telecommunications,Radio receiver design,Computer science,Discrete frequency domain,Frequency offset,Real-time computing,Electronic engineering,Bandwidth (signal processing),Low IF receiver,Matched filter
Conference
ISSN
Citations 
PageRank 
1525-3511
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Sebastian Hoyos123429.24
Brian M. Sadler23179286.72
Gonzalo R. Arce31061134.94