Kalman Combining Based Iterative Detection and Decoding for MIMO Systems With Hybrid ARQ

This study proposes Kalman combining-based iterative detection and decoding (KC-IDD) schemes for multiple-input multiple-output (MIMO) systems with hybrid automatic repeat request (HARQ). The conventional Kalman filtering (KF) operation for Kalman combining performs the linear minimum mean-square er...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2023-02, Vol.72 (2), p.2040-2050
Main Author: Park, Sangjoon
Format: Article
Language:English
Subjects:
Automatic repeat request
Error detection
hybrid ARQ
Hybrid systems
Iterative decoding
iterative detection and decoding
Iterative methods
Kalman filtering
Kalman filters
Kaman combining
LMMSE
Maximum likelihood decoding
MIMO communication
MIMO systems
State space models
State-space methods
Symbols
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study proposes Kalman combining-based iterative detection and decoding (KC-IDD) schemes for multiple-input multiple-output (MIMO) systems with hybrid automatic repeat request (HARQ). The conventional Kalman filtering (KF) operation for Kalman combining performs the linear minimum mean-square error (LMMSE) detection with symbol-level combining (SLC), but it is unable to utilize a priori information of retransmitted symbols. Therefore, a new KF operation is derived, wherein an observation adjustment is employed to adjust the observation for a given state of the state-space model with the a priori information instead of directly utilizing it into the KF operation. Based on the modified KF operation, two KC-IDD schemes are developed: i) KC-IDD with the single-state observation adjustment, i.e., the observation adjustment for the current HARQ round, and ii) KC-IDD with multi-state observation adjustment (KC-IDD-MS), i.e., the observation adjustments throughout the HARQ rounds of a packet. Therefore, the proposed schemes can perform SLC-based LMMSE-IDD, where the complexity for a given number of turbo iterations is similar or smaller to that of the conventional LMMSE-IDD scheme with bit-level combining (BLC). Furthermore, the simulation results show that regardless of the retransmission strategy, the proposed schemes, especially the KC-IDD-MS scheme, outperformed the conventional LMMSE-IDD scheme in terms of error performance and decoding convergence speed for retransmissions.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2022.3211307