Highly Scalable Implementation of a Robust MMSE Channel Estimator for OFDM Multi-Standard Environment

Isael Diaz, Balaji Sathyanarayanan, Alirad Malek, Farzad Foroughi, Joachim Rodrigues

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review


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.
Titel på värdpublikationIEEE Workshop on Signal Processing Systems
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
StatusPublished - 2011
EvenemangIEEE Workshop on Signal Processing Systems - Beirut, Libanon
Varaktighet: 2011 okt. 42011 okt. 7


ISSN (tryckt)1520-6130


KonferensIEEE Workshop on Signal Processing Systems

Ämnesklassifikation (UKÄ)

  • Elektroteknik och elektronik


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