重庆邮电大学学报(自然科学版)
重慶郵電大學學報(自然科學版)
중경유전대학학보(자연과학판)
JOURNAL OF CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS(NATURAL SCIENCE EDITION)
2008年
5期
545-548
,共4页
最大似然方法%贝叶斯信道估计%噪底%Teager-Kaiser滤波器
最大似然方法%貝葉斯信道估計%譟底%Teager-Kaiser濾波器
최대사연방법%패협사신도고계%조저%Teager-Kaiser려파기
maximum likelihood estimation%bayesian channel estimation%noise floor%Teager-Kaiser filter
在高信噪比情况下统计贝叶斯估计是一种有效的信道估计方法,但是在低信噪比时由于噪声估计不准确,其性能逐渐下降.研究了基于鲁棒的非线性降噪方法,提出了一个简化的联合最大似然贝叶斯信道估计.计算机仿真结果和分析表明这种方法在较高和较低的信噪比情况下,提高了信道估计和联合检测的性能.
在高信譟比情況下統計貝葉斯估計是一種有效的信道估計方法,但是在低信譟比時由于譟聲估計不準確,其性能逐漸下降.研究瞭基于魯棒的非線性降譟方法,提齣瞭一箇簡化的聯閤最大似然貝葉斯信道估計.計算機倣真結果和分析錶明這種方法在較高和較低的信譟比情況下,提高瞭信道估計和聯閤檢測的性能.
재고신조비정황하통계패협사고계시일충유효적신도고계방법,단시재저신조비시유우조성고계불준학,기성능축점하강.연구료기우로봉적비선성강조방법,제출료일개간화적연합최대사연패협사신도고계.계산궤방진결과화분석표명저충방법재교고화교저적신조비정황하,제고료신도고계화연합검측적성능.
Statistical Bayesian channel estimation is effective in suppressing noise floor for high SNR, but its performance degrades due to less reliable noise estimation in low SNR region. Based on a robust nonlinear de-noising technique for small signal, a simplified joint maximum likelihood and Bayesian channel estimation is proposed and investigated. Simulation results are presented and analysis shows it is promising to improve channel estimation and joint detection performance for both low and high SNR situations.