A Novel JFG Detection-Decoding Approach of a Vertical Shuffle Scheduling for Iterative MIMO Receivers with NB-LDPC Codes
Language
EN
Article de revue
This item was published in
Signal Processing. 2021-08, vol. 190, p. 108287
English Abstract
MIMO systems exploit multi-path propagation in a rich broadcast environment to improve throughput and performance of digital communication systems. The correspondent demappers require additional computational complexity. ...Read more >
MIMO systems exploit multi-path propagation in a rich broadcast environment to improve throughput and performance of digital communication systems. The correspondent demappers require additional computational complexity. In this paper, a new detection-decoding approach based on vertical shuffle scheduling is proposed. Space exploration for the maximum likelihood detection is reduced to a dynamic region that surrounds the received symbol. Thus, a dynamic approach is proposed to detect the closest point of the channel observation without calculating all the candidate symbols in a constellation. In addition, a novel method based on EXIT chart study is proposed to find the sufficient number of neighboring points to search around a local minimum and then compute by recursion their Euclidean distances. Compared to the conventional Maximum Likelihood detector, the proposed algorithm allows a reduction in the computational complexity, in terms of number of multiplication, reaching 98%. The simulation results show that the proposed algorithm outperforms the state-of-the-art algorithms like MMSE, sphere decoding, DBTC and DaVinci codes.Read less <
English Keywords
MIMO Systems
Iterative belief propagation
Joint factor graph
Vertical shuffle schedule
Dynamic closest point
EXIT Chart