Low-complexity single-channel blind separation of co-frequency coded signals

• Main Authors: Liu, Xiaobei, Guan, Yong Liang, Koh, Soo Ngee, Liu, Zilong, Wang, Peng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Per-survivor Processing; Single-channel Blind Source Separation; Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/84899; http://hdl.handle.net/10220/49169
• Institution: Nanyang Technological University

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.