Diaz I, Sathyanarayanan B, Malek A, Foroughi F, Rodrigues JN (2011)
Publication Type: Conference contribution
Publication year: 2011
Pages Range: 311-315
Conference Proceedings Title: 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings
Event location: LBN
ISBN: 9781457719219
DOI: 10.1109/SiPS.2011.6088995
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. © 2011 IEEE.
APA:
Diaz, I., Sathyanarayanan, B., Malek, A., Foroughi, F., & Rodrigues, J.N. (2011). Highly scalable implementation of a robust MMSE channel estimator for OFDM multi-standard environment. In 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings (pp. 311-315). LBN.
MLA:
Diaz, Isael, et al. "Highly scalable implementation of a robust MMSE channel estimator for OFDM multi-standard environment." Proceedings of the 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, LBN 2011. 311-315.
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