A new algorithm of iterative MIMO detection and decoding using linear detector and enhanced turbo procedure in iterative loop

In the paper we develop and evaluate a novel low complexity algorithm of iterative detection and decoding in multiple input multiple output (MIMO) system. It is based on a new enhanced Turbo procedure. Although the algorithm utilizes well-known components such as linear minimum mean square error (MMSE) detector and channel decoder with soft bits feedback, the new original procedure of getting extrinsic data essentially allows improving the receiver performance and reducing its complexity. Moreover, it is shown that proposed Turbo approach works even without channel decoder in the iteration loop. Thus, we ob-tain pure iterative MMSE detector with improved performance. Utilization of combined scheme with MMSE detector and channel decoder feedback demonstrates really outstanding performance. It is confirmed with simulations that the performance of proposed architecture exceeds traditional ML MIMO detector schemes that are designed with channel decoder but without iterative loop. © 2019 FRUCT.

Авторы
Bakulin M.1 , Kreyndelin V.1 , Rog A.2 , Petrov D. 3 , Melnik S.4
Сборник материалов конференции
Издательство
IEEE Computer Society
Язык
Английский
Страницы
40-46
Статус
Опубликовано
Номер
8711962
Том
2019-April
Год
2019
Организации
  • 1 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
Ключевые слова
Channel coding; Computational complexity; Mean square error; MIMO systems; Signal receivers; Channel decoder; Combined schemes; Iterative detection and decoding; Linear detectors; Linear minimum mean square errors; Low complexity algorithm; Proposed architectures; Receiver performance; Iterative decoding
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