Highly scalable implementation of a robust MMSE channel estimator for OFDM multi-standard environment

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 achi...

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Bibliographic Details
Published in2011 IEEE Workshop on Signal Processing Systems (SiPS) pp. 311 - 315
Main Authors Diaz, I., Sathyanarayanan, B., Malek, A., Foroughi, F., Rodrigues, J. N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
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Summary: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 65nm 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 78M estimates/second. Simulations under a typical LTE reception show that the implementation dissipates 4.9μW per sample.
ISBN:9781457719202
1457719207
ISSN:2162-3562
2162-3570
DOI:10.1109/SiPS.2011.6088995