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Implementation of a Novel Architecture for DFT-based Channel Estimators in OFDM Systems

Stala, Michal (author)
Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
Edfors, Ove (author)
Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
Öwall, Viktor (author)
Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
 (creator_code:org_t)
2014
2014
English.
In: [Host publication title missing].
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • A new architecture for Discrete Fourier Transform (DFT) based channel estimation has been analyzed, implemented and synthesized for ASIC. The core concept of the proposed esti- mation algorithm is to process the channel increments rather than the channel coefficients. With strong enough time correlation, we can reduce the wordlength of processing blocks compared to standard channel estimators and hence the resulting area and power. We provide an analytical tool to predict the potential gains in bit reduction for different mobility scenarios. Our simulations show that the wordlength can be reduced from 9 to 3 bits when operating in low mobility scenarios, with 5Hz Doppler frequency, while maintaining acceptable performance. Synthesis results show up to 40% reduction in area, compared to the original DFT-based approach, in a 65nm CMOS process.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

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Stala, Michal
Edfors, Ove
Öwall, Viktor
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Lund University

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