The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Effects of lattice reordering on Schnorr-Euchner decoding algorithms for MIMO systems

Author

  • Zhan Guo
  • Peter Nilsson

Summary, in English

Schnorr-Euchner (SE) decoding algorithm for MIMO sys tems has been shown to approach the performance of Maximum-likelihood decoder with low complexity. There are two kinds of SE decoder, sequential SE and K-best SE. The lattice reordering, as the preprocessing of the SE de coder, is divided into four modes in this paper, according to post-detection signal-to-noise ratio (SNR) and channel noise level. The numerical complexity and stability of each mode are analyzed. Moreover, the effects of the four pre processing modes are analyzed on the sequential SE and the K-best SE, respectively. Simulation results show that the complexity of the sequential SE and the K-best SE can be reduced efficiently, if the preprocessing mode is chosen suitably.

Publishing year

2005

Language

English

Pages

1-6

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

IASTED International Conference on Communication Systems and Networks (CSN)

Conference date

2005-09-12 - 2005-09-14

Conference place

Benidorm, Spain

Status

Published

Research group

  • Elektronikkonstruktion