Hardware and software implementations of an MMSE equalizer for MIMO-OFDM based WLAN

Ö. Paker; C.H. Berkel, van; C.M. Moerman

doi:10.1109/SIPS.2005.1579829

Hardware and software implementations of an MMSE equalizer for MIMO-OFDM based WLAN

Ö. Paker
, C.H. Berkel, van
, C.M. Moerman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

1 Downloads (Pure)

Abstract

Communication over a MIMO (multiple-inputmultiple- output) channel promises several advantages: increase in channel capacity, reduced transmit power, greater coverage, and improved link robustness. The minimum mean squared error equalizer (MMSE) is a potential algorithm in addressing the MIMO detection challenge. This paper presents four implementations for the computation of the MMSE equalizer coefficients. The studied options are: (1) a generalpurpose microprocessor (ARM926EJ-S), (2) a traditional general purpose DSP (RD16024), (3) an embedded vector processor (EVP16), and (4) a dedicated hardware solution. We show that, the equalizer requires acceleration for real-time processing. In order to obtain a low cost, flexible multistandard WLAN baseband implementation, EVP16 is the only feasible solution among the four studied.

Original language	English
Title of host publication	Proceedings of the 2005 IEEE Workshop on Signal Processing Systems (SIPS'05, Athens, Greece, November 2-4, 2005)
Place of Publication	Piscataway NJ, USA
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
ISBN (Print)	0-7803-9333-3
DOIs	https://doi.org/10.1109/SIPS.2005.1579829
Publication status	Published - 2006

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10.1109/SIPS.2005.1579829

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title = "Hardware and software implementations of an MMSE equalizer for MIMO-OFDM based WLAN",

abstract = "Communication over a MIMO (multiple-inputmultiple- output) channel promises several advantages: increase in channel capacity, reduced transmit power, greater coverage, and improved link robustness. The minimum mean squared error equalizer (MMSE) is a potential algorithm in addressing the MIMO detection challenge. This paper presents four implementations for the computation of the MMSE equalizer coefficients. The studied options are: (1) a generalpurpose microprocessor (ARM926EJ-S), (2) a traditional general purpose DSP (RD16024), (3) an embedded vector processor (EVP16), and (4) a dedicated hardware solution. We show that, the equalizer requires acceleration for real-time processing. In order to obtain a low cost, flexible multistandard WLAN baseband implementation, EVP16 is the only feasible solution among the four studied.",

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year = "2006",

doi = "10.1109/SIPS.2005.1579829",

language = "English",

isbn = "0-7803-9333-3",

pages = "1--6",

booktitle = "Proceedings of the 2005 IEEE Workshop on Signal Processing Systems (SIPS'05, Athens, Greece, November 2-4, 2005)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

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Paker, Ö, Berkel, van, CH & Moerman, CM 2006, Hardware and software implementations of an MMSE equalizer for MIMO-OFDM based WLAN. in Proceedings of the 2005 IEEE Workshop on Signal Processing Systems (SIPS'05, Athens, Greece, November 2-4, 2005). Institute of Electrical and Electronics Engineers, Piscataway NJ, USA, pp. 1-6. https://doi.org/10.1109/SIPS.2005.1579829

Hardware and software implementations of an MMSE equalizer for MIMO-OFDM based WLAN. / Paker, Ö.; Berkel, van, C.H.; Moerman, C.M.
Proceedings of the 2005 IEEE Workshop on Signal Processing Systems (SIPS'05, Athens, Greece, November 2-4, 2005). Piscataway NJ, USA: Institute of Electrical and Electronics Engineers, 2006. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Hardware and software implementations of an MMSE equalizer for MIMO-OFDM based WLAN

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AU - Berkel, van, C.H.

AU - Moerman, C.M.

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N2 - Communication over a MIMO (multiple-inputmultiple- output) channel promises several advantages: increase in channel capacity, reduced transmit power, greater coverage, and improved link robustness. The minimum mean squared error equalizer (MMSE) is a potential algorithm in addressing the MIMO detection challenge. This paper presents four implementations for the computation of the MMSE equalizer coefficients. The studied options are: (1) a generalpurpose microprocessor (ARM926EJ-S), (2) a traditional general purpose DSP (RD16024), (3) an embedded vector processor (EVP16), and (4) a dedicated hardware solution. We show that, the equalizer requires acceleration for real-time processing. In order to obtain a low cost, flexible multistandard WLAN baseband implementation, EVP16 is the only feasible solution among the four studied.

AB - Communication over a MIMO (multiple-inputmultiple- output) channel promises several advantages: increase in channel capacity, reduced transmit power, greater coverage, and improved link robustness. The minimum mean squared error equalizer (MMSE) is a potential algorithm in addressing the MIMO detection challenge. This paper presents four implementations for the computation of the MMSE equalizer coefficients. The studied options are: (1) a generalpurpose microprocessor (ARM926EJ-S), (2) a traditional general purpose DSP (RD16024), (3) an embedded vector processor (EVP16), and (4) a dedicated hardware solution. We show that, the equalizer requires acceleration for real-time processing. In order to obtain a low cost, flexible multistandard WLAN baseband implementation, EVP16 is the only feasible solution among the four studied.

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DO - 10.1109/SIPS.2005.1579829

M3 - Conference contribution

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BT - Proceedings of the 2005 IEEE Workshop on Signal Processing Systems (SIPS'05, Athens, Greece, November 2-4, 2005)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway NJ, USA

ER -

Hardware and software implementations of an MMSE equalizer for MIMO-OFDM based WLAN

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