Low-complexity iterative MIMO detection based on turbo-MMSE algorithm

Next generation Multiple Input Multiple Output (MIMO) communication systems should meet strict performance requirements and keep reasonable complexity. This paper presents a new low-complexity approach for iterative MIMO detection which is based on enhanced Turbo procedure. In the algorithm such components as linear Minimum Mean Square Error (MMSE) detection and soft symbol estimation based on the MMSE solution are utilized. A new original procedure of getting extrinsic data essentially improves the receiver performance and reduces its complexity. The results of the study are validated by link-level simulations. © 2017, Springer International Publishing AG.

Authors
Bakulin M.1 , Kreyndelin V.1 , Rog A.2 , Petrov D. 3 , Melnik S.4
Language
English
Pages
550-560
Status
Published
Volume
10531 LNCS
Year
2017
Organizations
  • 1 IT Department, Moscow Technical University of Communications and Informatics (MTUSI), Moscow, Russian Federation
  • 2 GlobalInformService, Moscow, Russian Federation
  • 3 Peoples’ Friendship University of Russia (RUDN University), Moscow, Russian Federation
  • 4 Central Scientific Research Institute of Communication, Moscow, Russian Federation
Keywords
Iterative detection; MIMO; ML; MMSE; Turbo decoding
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/6131/
Share

Other records