Low-complexity single-channel blind separation of co-frequency coded signals
Author
Liu, Xiaobei
Guan, Yong Liang
Koh, Soo Ngee
Liu, Zilong
Wang, Peng
Date of Issue
2018School
School of Electrical and Electronic Engineering
Version
Accepted version
Abstract
Single-channel blind source separation (SCBSS) of uncoordinated, non-spread, co-frequency interfering signals with non-zero carrier frequency offset and timing offset, and without training sequence for channel estimation, is a challenging task. Iterative SCBSS of coded signals leads to good performance but is computationally expensive as it involves the turbo processing of multi-user per-survivor processing and soft-input soft-output channel decoding. In this letter, we propose a low-complexity SCBSS (LC-SCBSS) scheme, which reduces the computational complexity of the conventional iterative SCBSS by using interference-cancellation from the second iteration onward, and adaptive channel truncation for certain users. Simulation results show that the proposed LC-SCBSS reduces the computational complexity by more than 99%, with only a marginal degradation in performance.
Subject
Single-channel Blind Source Separation
Per-survivor Processing
Engineering::Electrical and electronic engineering
Per-survivor Processing
Engineering::Electrical and electronic engineering
Type
Journal Article
Series/Journal Title
IEEE Communications Letters
Rights
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/LCOMM.2018.2805332.
Collections
http://dx.doi.org/10.1109/LCOMM.2018.2805332
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