Low-Complexity Iterative MIMO Detection Based on Turbo-MMSE Algorithm

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10531)


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.


MIMO Turbo decoding Iterative detection MMSE ML 



The publication was financially supported by the Ministry of Education and Science of the Russian Federation (the Agreement number 02.a03.21.0008).


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.IT DepartmentMoscow Technical University of Communications and Informatics (MTUSI)MoscowRussian Federation
  2. 2.GlobalInformServiceMoscowRussian Federation
  3. 3.Peoples’ Friendship University of Russia (RUDN University)MoscowRussian Federation
  4. 4.Central Scientific Research Institute of CommunicationMoscowRussian Federation

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