Highly Scalable Implementation of a Robust MMSE Channel Estimator for OFDM Multi-Standard Environment
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2026475
- author
- Diaz, Isael LU ; Sathyanarayanan, Balaji ; Malek, Alirad ; Foroughi, Farzad LU and Rodrigues, Joachim LU
- organization
- publishing date
- 2011
- 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, VĂ–/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}}, }