电讯技术2018，Vol.58Issue(2)：186-190,5.DOI:10.3969/j.issn.1001-893x.2018.02.012
基于噪声预测的低复杂度判决反馈均衡
Low Complexity Decision Feedback Equalization Based on Noise Prediction
李雪姣 1徐松毅1
作者信息
- 1. 中国电子科技集团公司第五十四研究所,石家庄050081
- 折叠
摘要
Abstract
Aiming at the bad multipath effect in scatter communication systems and the high complexity of frequency domain nonlinear equalization algorithm,a low complexity decision feedback equalization method based on noise prediction is proposed.According to the multipath channel model in scatter communication systems,some feedback decision coefficients are predicted by curve fitting when delay power spectrum de-cayes as exponent distribution,so as to reduce the computational complexity.Simulation results show that the proposed method has a lower complexity as well as good bit error rate(BER) performance,and the sig-nal-to-noise ratio(SNR) loss can be controlled in 0.1 dB when there is a proper threshold.关键词
散射通信/噪声预测/判决反馈均衡/低复杂度算法Key words
scatter communication/noise prediction/decision feedback equalization/low complexity algorithm分类
信息技术与安全科学引用本文复制引用
李雪姣,徐松毅..基于噪声预测的低复杂度判决反馈均衡[J].电讯技术,2018,58(2):186-190,5.
