Digital-Analog Hybrid Equalization of Broadband Signals Based on Equivalent Time Sampling

被引:0
|
作者
Ding, Xuhui [1 ]
Ma, Yongfeng [1 ]
Wang, Jiwen [1 ]
Wang, Wei [1 ]
Li, Jianguo [1 ]
Li, Xiangming [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China
来源
2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC | 2020年
关键词
Channel equalization; equivalent time sample; signal reconstruction; BLIND EQUALIZATION; IDENTIFICATION; SCHEME;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
As the symbol rate gradually increases, inter-symbol interference becomes more serious. High-performance and low-resource equalization technology has become one of the research hotspots in the signal processing area. In this paper, for channel with constant characteristics, a digital-analog hybrid equalizer of broadband signals based on equivalent time sampling is proposed. The equivalent time sampling technology can reconstruct signals at a sampling rate much lower than the Nyquist sampling rate, thus, it can greatly alleviate the pressure on the ADC and reduce the processor's resource consumption. In addition, the dual-mode blind equalization algorithm can achieve fast convergence and accurately compensate for errors caused by non-ideal channel. Moreover, the numerical results show that the performance of the dual-mode multi-modulus algorithm and decision-directed algorithm (MMA-DD) is better than the multi-modulus algorithm (MMA) which can further reduce the residual error to accurately track the channel characteristics.
引用
收藏
页码:337 / 340
页数:4
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