By Topic

Core matrix inversion techniques for SC/MMSE MIMO turbo equalization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Sarestoniemi, M. ; Centre for Wireless Commun., Oulu Univ., Finland ; Matsumoto, T. ; Kansanen, K. ; Schneider, C.

Conditional minimum mean square error (CMMSE) estimation problems commonly appear in iterative (turbo) signal detectors that utilize soft feedback from soft-input soft-output (SISO) channel decoders. To solve CMMSE problems, covariance matrix inverse has to be calculated for the output vector of soft-cancellation of interfering components, which requires a cubic order of computational complexity of the row size of the equivalent space-time channel matrix. This paper first proposes a computationally efficient method to calculate strictly the matrix inversion for CMMSE. It is shown that the proposed technique can be implemented in a highly pipelined manner. This paper also presents an approximated version of the algorithm that further reduces the computational complexity to a square order of the channel matrix's row size without causing any significant loss in performance. Results of model-based and field measurement data-based simulations for the approximated version of the algorithm are presented.

Published in:

Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th  (Volume:1 )

Date of Conference:

17-19 May 2004