Low complexity iterative joint detection, decoding, and channel estimation for wireless MIMO system

Jian Hung Lin, Keshab K Parhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The computational complexity of current iterative MIMO detector and channel estimator is high and the hardware design of MMSE soft detector with interference cancellation has not been discussed. This paper proposes a few techniques and their corresponding VLSI architectures to reduce the power consumption and computation time. First technique that is based on monitoring symbol mean and variance can reduce the complexity of iterative channel estimator and soft detector at the same time. The other two reuse previously computed information by loop or cache to simplify computation. Simulation results show these techniques can significantly reduce the computational complexity. The architecture of the soft detector and a low complexity low memory access channel estimator are also proposed. They are designed to reduce power consumption and computation time.

Original languageEnglish (US)
Title of host publication2006 IEEE Workshop on Signal Processing Systems Design and Implementation, SIPS
Pages45-50
Number of pages6
DOIs
StatePublished - Dec 1 2006
EventIEEE Workshop on Signal Processing Systems, SIPS 2006 - Banff, AB, Canada
Duration: Oct 2 2006Oct 4 2006

Publication series

Name2006 IEEE Workshop on Signal Processing Systems Design and Implementation, SIPS

Other

OtherIEEE Workshop on Signal Processing Systems, SIPS 2006
CountryCanada
CityBanff, AB
Period10/2/0610/4/06

Fingerprint Dive into the research topics of 'Low complexity iterative joint detection, decoding, and channel estimation for wireless MIMO system'. Together they form a unique fingerprint.

Cite this