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

Author

Summary, in English

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.

Publishing year

2011

Language

English

Pages

311-315

Publication/Series

IEEE Workshop on Signal Processing Systems

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

IEEE Workshop on Signal Processing Systems

Conference date

2011-10-04 - 2011-10-07

Conference place

Beirut, Lebanon

Status

Published

Project

  • Radiosystem: Multibase (EU, VÖ/OE)

Research group

  • Radio Systems
  • Digital ASIC
  • Elektronikkonstruktion

ISBN/ISSN/Other

  • ISSN: 1520-6130