Clipping Noise Cancellation for Signal Detection of GSTFIM Systems

Shiwen Fan; Yue Xiao; Shu Fang; Yan Zhao; Xiaotian Zhou

doi:10.1109/ACCESS.2020.2972124

IEEE Access (Jan 2020)

Clipping Noise Cancellation for Signal Detection of GSTFIM Systems

Shiwen Fan,
Yue Xiao,
Shu Fang,
Yan Zhao,
Xiaotian Zhou

Affiliations

Shiwen Fan: ORCiD; National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Yue Xiao: ORCiD; National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Shu Fang: ORCiD; National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Yan Zhao: ORCiD; National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
Xiaotian Zhou: ORCiD; Science and Technology on Communication Networks Laboratory, The 54th Research Institute of China Electronics Technology Group Corporation (CETC), Shijiazhuang, China

DOI: https://doi.org/10.1109/ACCESS.2020.2972124
Journal volume & issue: Vol. 8
pp. 33830 – 33837

Abstract

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In this paper, a pair of clipping interference cancellation detectors based on symbol feedback and soft information are proposed for the generalized space-time-frequency index modulation (GSTFIM) systems. Specifically, the clipping interference is reconstructed by the prior information of the GSFTFIM symbol in these two detectors, then an iterative algorithm is developed for elimination and compensation of the clipping interference. The difference of these two proposed detectors lies in that the symbol feedback based interference cancellation (SFIC) detector completes the iteration through the hard decision symbol, while the soft information based interference cancellation (SIIC) detector iterates by the mean and variance of the estimated symbols. Simulation results show that the proposed two detectors can obtain flexible tradeoff between performance and complexity, compared to the traditional maximum likelihood (ML) detector with clipping interference.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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