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Title: Single-channel blind separation of unsynchronized multiuser PSK signals with non-identical sampling frequency offsets
Authors: Liu, Xiaobei
Guan, Yong Liang
Keywords: Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2022
Source: Liu, X. & Guan, Y. L. (2022). Single-channel blind separation of unsynchronized multiuser PSK signals with non-identical sampling frequency offsets. IEEE Communications Letters, 26(11), 2774-2778.
Journal: IEEE Communications Letters 
Abstract: Single-channel blind source separation (SCBSS) of uncoordinated, non-spread, co-frequency interfering multi-user signals is a challenging task. When the multi-user signals have sampling frequency offset (SFO) due to the imperfection of the local oscillator (LO), this problem becomes even more difficult to be solved. In this letter, a select-stitch data-aided channel estimation (CE) initialized per-survivor processing (SS-DCE-PSP) algorithm is proposed for SCBSS of multi-user signals with SFOs caused by imperfect LOs. By dividing a long sequence into a number of segments and selecting the segments with highest detection reliability to stitch together, the time slip and symbol slip due to the non-identical SFOs can be resolved. The data-aided CE in SS-DCE-PSP further enhances the performance of PSP, especially for the initial symbols. Simulation results show that the proposed SS-DCE-PSP algorithm is robust to the normalized SFO up to 10-4, and the BERs obtained by the SS-DCE-PSP algorithm are close (within 0.5dB) to the BERs obtained for multi-user signals without SFOs.
ISSN: 1089-7798
DOI: 10.1109/LCOMM.2022.3202538
Schools: School of Electrical and Electronic Engineering 
Research Centres: Temasek Laboratories @ NTU 
Rights: © 2022 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:
Fulltext Permission: open
Fulltext Availability: With Fulltext
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