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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 p.311-315
Abstract
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... (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
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
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
conference location
Beirut, Lebanon
conference dates
2011-10-04 - 2011-10-07
external identifiers
  • wos:000299390800055
  • scopus:84055218519
ISSN
1520-6130
project
Radiosystem: Multibase (EU, VÖ/OE)
language
English
LU publication?
yes
id
257bd846-c587-4d17-9e9c-c35b0a45041f (old id 2026475)
date added to LUP
2016-04-01 13:40:47
date last changed
2022-01-27 20:26:17
@inproceedings{257bd846-c587-4d17-9e9c-c35b0a45041f,
  abstract     = {{Abstract in Undetermined<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}},
}