Highly scalable implementation of a robust MMSE channel estimator for OFDM multi-standard environment
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 achi...
Saved in:
Published in | 2011 IEEE Workshop on Signal Processing Systems (SiPS) pp. 311 - 315 |
---|---|
Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2011
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | 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. |
---|---|
ISBN: | 9781457719202 1457719207 |
ISSN: | 2162-3562 2162-3570 |
DOI: | 10.1109/SiPS.2011.6088995 |