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Highly Scalable Implementation of a Robust MMSE Channel Estimator for OFDM Multi-Standard Environment

Diaz, Isael LU ; Sathyanarayanan, Balaji; Malek, Alirad; Foroughi, Farzad LU and Rodrigues, Joachim LU (2011) IEEE Workshop on Signal Processing Systems In IEEE Workshop on Signal Processing Systems p.311-315
Abstract (Swedish)
Abstract in Undetermined

In this paper a VLSI implementation of a highly scalable MMSE (Minimum Mean Square Estimator) is presented with the ultimate goal of demonstrating the potential of MMSE as enabler for multi-standard channel estimation. By selecting an appropriate implementation, a complexity reduction of 98% is achieved when compared to Time-Domain Maximum Likelihood Estimation (TDMLE), whereas low power consumption is accomplished by implementing a low-power-mode. The architecture is capable of performing Least Square (LS) estimation and MMSE compliant with 3GPP LTE (Long Term Evolution), IEEE 802.11n (WLAN), and DVB-H (Digital Video Broadcast for Handheld Devices), The estimator is synthesized using a 65 nm... (More)
Abstract in Undetermined

In this paper a VLSI implementation of a highly scalable MMSE (Minimum Mean Square Estimator) is presented with the ultimate goal of demonstrating the potential of MMSE as enabler for multi-standard channel estimation. By selecting an appropriate implementation, a complexity reduction of 98% is achieved when compared to Time-Domain Maximum Likelihood Estimation (TDMLE), whereas low power consumption is accomplished by implementing a low-power-mode. The architecture is capable of performing Least Square (LS) estimation and MMSE compliant with 3GPP LTE (Long Term Evolution), IEEE 802.11n (WLAN), and DVB-H (Digital Video Broadcast for Handheld Devices), The estimator is synthesized using a 65 nm low-leakage high-threshold standard-cell CMOS library. The design occupies an area of 0.169 mm(2), is capable of running upto 250 MHz, providing a throughput of 78 M estimates/second. Simulations under a typical LTE reception show that the implementation dissipates 4.9 mu W per sample. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
IEEE Workshop on Signal Processing Systems
pages
311 - 315
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE Workshop on Signal Processing Systems
external identifiers
  • wos:000299390800055
  • scopus:84055218519
ISSN
1520-6130
project
Radiosystem: Multibase (EU, VĂ–/OE)
language
English
LU publication?
yes
id
257bd846-c587-4d17-9e9c-c35b0a45041f (old id 2026475)
date added to LUP
2011-07-07 15:52:05
date last changed
2017-06-04 03:57:57
@inproceedings{257bd846-c587-4d17-9e9c-c35b0a45041f,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
In this paper a VLSI implementation of a highly scalable MMSE (Minimum Mean Square Estimator) is presented with the ultimate goal of demonstrating the potential of MMSE as enabler for multi-standard channel estimation. By selecting an appropriate implementation, a complexity reduction of 98% is achieved when compared to Time-Domain Maximum Likelihood Estimation (TDMLE), whereas low power consumption is accomplished by implementing a low-power-mode. The architecture is capable of performing Least Square (LS) estimation and MMSE compliant with 3GPP LTE (Long Term Evolution), IEEE 802.11n (WLAN), and DVB-H (Digital Video Broadcast for Handheld Devices), The estimator is synthesized using a 65 nm low-leakage high-threshold standard-cell CMOS library. The design occupies an area of 0.169 mm(2), is capable of running upto 250 MHz, providing a throughput of 78 M estimates/second. Simulations under a typical LTE reception show that the implementation dissipates 4.9 mu W per sample.},
  author       = {Diaz, Isael and Sathyanarayanan, Balaji and Malek, Alirad and Foroughi, Farzad and Rodrigues, Joachim},
  booktitle    = {IEEE Workshop on Signal Processing Systems},
  issn         = {1520-6130},
  language     = {eng},
  pages        = {311--315},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Highly Scalable Implementation of a Robust MMSE Channel Estimator for OFDM Multi-Standard Environment},
  year         = {2011},
}