基于复数支持向量回归机的盲均衡算法

TN911.5; 基于复数支持向量回归机(CSVR)的框架,提出了一种针对复数信号的新的盲均衡算法,将多模算法的误差函数代入CSVR的惩罚项构造代价函数,利用广泛线性估计建立回归关系,并采用迭代重加权最小二乘方法确定均衡器系数.不同于支持向量回归机对复数信号的实数化处理方式,CSVR利用Wirtinger微积分,将复数信号直接在复数再生核希尔伯特空间进行解析.仿真实验表明,针对QPSK调制信号,在线性信道和非线性信道下,与基于SVR的盲均衡算法相比,通过选取合适的核函数和迭代优化方法,所提算法的均衡性能显著提升....

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Published in通信学报 Vol. 40; no. 10; pp. 180 - 188
Main Authors 杨凌, 陈亮, 赵膑, 张国龙, 李媛
Format Journal Article
LanguageChinese
Published 兰州大学信息科学与工程学院,甘肃兰州,730000 25.10.2019
Subjects
Online AccessGet full text
ISSN1000-436X
DOI10.11959/j.issn.1000-436x.2019199

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Abstract TN911.5; 基于复数支持向量回归机(CSVR)的框架,提出了一种针对复数信号的新的盲均衡算法,将多模算法的误差函数代入CSVR的惩罚项构造代价函数,利用广泛线性估计建立回归关系,并采用迭代重加权最小二乘方法确定均衡器系数.不同于支持向量回归机对复数信号的实数化处理方式,CSVR利用Wirtinger微积分,将复数信号直接在复数再生核希尔伯特空间进行解析.仿真实验表明,针对QPSK调制信号,在线性信道和非线性信道下,与基于SVR的盲均衡算法相比,通过选取合适的核函数和迭代优化方法,所提算法的均衡性能显著提升.
AbstractList TN911.5; 基于复数支持向量回归机(CSVR)的框架,提出了一种针对复数信号的新的盲均衡算法,将多模算法的误差函数代入CSVR的惩罚项构造代价函数,利用广泛线性估计建立回归关系,并采用迭代重加权最小二乘方法确定均衡器系数.不同于支持向量回归机对复数信号的实数化处理方式,CSVR利用Wirtinger微积分,将复数信号直接在复数再生核希尔伯特空间进行解析.仿真实验表明,针对QPSK调制信号,在线性信道和非线性信道下,与基于SVR的盲均衡算法相比,通过选取合适的核函数和迭代优化方法,所提算法的均衡性能显著提升.
Author 杨凌
李媛
陈亮
张国龙
赵膑
AuthorAffiliation 兰州大学信息科学与工程学院,甘肃兰州,730000
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CHEN Liang
YANG Ling
LI Yuan
ZHAO Bin
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核函数
复数支持向量回归机
多模算法
盲均衡
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Title 基于复数支持向量回归机的盲均衡算法
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