Highly Scalable Implementation of a Robust MMSE Channel Estimator for OFDM Multi-Standard Environment
Author
Summary, in English
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