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

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

Research output: Chapter in Book/Report/Conference proceedingPaper in conference 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.
Original languageEnglish
Title of host publicationIEEE Workshop on Signal Processing Systems
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication statusPublished - 2011
EventIEEE Workshop on Signal Processing Systems - Beirut, Lebanon
Duration: 2011 Oct 42011 Oct 7

Publication series

ISSN (Print)1520-6130


ConferenceIEEE Workshop on Signal Processing Systems

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering


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