探测器
单天线干扰消除
剪裁(形态学)
干扰(通信)
计算机科学
算法
噪音(视频)
语音识别
电子工程
电信
频道(广播)
人工智能
工程类
语言学
图像(数学)
哲学
作者
Shiwen Fan,Yue Xiao,Shu Fang,Yan Zhao,Xiaotian Zhou
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2020-01-01
卷期号:8: 33830-33837
被引量:3
标识
DOI:10.1109/access.2020.2972124
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI