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Low-Complexity HPGA Decoding Methods for Core-Layer Signal in LDM-MIMO ATSC 3.0 Broadcasting Systems

LDM-MIMO ATSC 3.0 방송 시스템의 Core-Layer 신호를 위한 저복잡도 HPGA 복호 기법들

  • Kim, Seunghyeon (Dept. of ICT Convergence System Engineering, Chonnam National University) ;
  • Shang, Yulong (Dept. of Electrical and Information Engineering, Jiangsu University of Technology) ;
  • Jung, Taejin (Dept. of ICT Convergence System Engineering, Chonnam National University)
  • 김승현 (전남대학교 ICT융합시스템공학과) ;
  • ;
  • 정태진 (전남대학교 ICT융합시스템공학과)
  • Received : 2021.11.26
  • Accepted : 2021.12.16
  • Published : 2022.01.30

Abstract

In this letter, we propose low-complexity Hybrid-Partial-Gaussian-Approximation (HPGA) decoding methods for core-layer signal of Layered-Division-Multiplexing Multiple-Inputs-Multiple- Outputs ATSC 3.0 broadcasting systems. The proposed HPGA decoding methods have an advantage of being able to greatly reduce decoding complexity without significant performance degradation compared to a conventional PGA method, by selectively using existing GA and PGA methods according to a received injection-level at an each receive antenna.

본 레터는 Layered-Division-Multiplexing Multiple-Inputs-Multiple-Outputs ATSC 3.0 방송 시스템의 Core-Layer신호에 대한 저복잡도 Hybrid-Partial-Gaussian-Approximation(HPGA) 복호 기법들을 제안하고자 한다. 제안된 HPGA 기법들은 각 수신 안테나 신호의 Injection-Level 값에 따라 기존의 제안된 GA 및 PGA 기법들을 선택적으로 사용하여 기존의 PGA 기법에 비해 큰 성능 저하 없이 복호 복잡도를 크게 줄일 수 있는 장점을 갖는다.

Keywords

Acknowledgement

This research was supported by the BK21 FOUR Program(Fostering Outstanding Universities for Research, 5199991714138) funded by the Ministry of Education(MOE, Korea) and National Research Foundation of Korea(NRF).

References

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