Blind sequence estimation of MPSK signals using dynamically driven recurrent neural networks

被引：7

作者：

Ruan, Xiukai ^{[1
]}

Zhang, Yaoju ^{[1
]}

机构：

[1] Wenzhou Univ, Coll Phys & Elect Informat Engn, Wenzhou 325035, Peoples R China

来源：

NEUROCOMPUTING | 2014年 / 129卷

基金：

中国国家自然科学基金;

关键词：

Dynamically driven RNN; Blind sequence estimation; Energy function; Continuous multi-threshold phase activation function; MPSK; EQUALIZATION;

D O I：

10.1016/j.neucom.2013.09.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel blind sequence estimation of multiple phase shift keying (MPSK) signals approach using dynamically driven recurrent neural networks (DDRNN) with the continuous multi-threshold phase activation function (CMTPAF). With the consideration of the characteristics of MPSK signals, a CMTPAF is designed, the parameters of the CMTPAF are illustrated, and the two new concepts of accumulation points and repulsion points are proposed. The weight matrix of DDRNN-CMTPAF is constructed by utilizing the unitary signal space matrix obtained from singular value decomposition for the receiving signal matrix. It is important that the energy functions of synchronous and asynchronous modes in the designed DDRNN-CMTPAF are proposed and proved. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：421 / 427

页数：7

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