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Low-Complexity Single-Channel Blind Separation of Co-Frequency Coded Signals

Liu, Xiaobei, Guan, Yong Liang, Koh, Soo Ngee, Liu, Zilong and Wang, Peng (2018) Low-Complexity Single-Channel Blind Separation of Co-Frequency Coded Signals IEEE Communications Letters, 22 (5). pp. 990-993.

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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.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Liu, Xiaobei
Guan, Yong Liang
Koh, Soo Ngee
Liu, Zilongzilong.liu@surrey.ac.uk
Wang, Peng
Date : 12 February 2018
DOI : 10.1109/LCOMM.2018.2805332
Uncontrolled Keywords : Single-channel blind source separation; Per-survivor processing; Interference-cancellation; Channel truncation
Depositing User : Clive Harris
Date Deposited : 12 Sep 2018 14:33
Last Modified : 12 Sep 2018 14:33
URI: http://epubs.surrey.ac.uk/id/eprint/849267

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