Blind Detection of BPSK Signals Using Hysteretic Hopfield Neural Network

被引：2

作者：

Yu, Shu-Juan ^{[1
]}

Feng, Di ^{[1
]}

Zhang, Yun ^{[1
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Sch Elect Sci & Engn, 66 XingMoFan Rd, Nanjing, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION | 2013年 / 254卷

关键词：

Hysteretic Hopfield neural network (HHNN); Blind detetion; BPSK signals;

D O I：

10.1007/978-3-642-38524-7_76

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new algorithm based on Hysteretic Hopfield neural nework (HHNN) is proposed to detect BPSK signals blindly. Considering the characteristic of hysteretic activation function, the new algorithm has a tendency to overcome local minima. The new energy functions for HHNN are constructed, and the stability of the network is also analyzed. Simulation results show that the algorithm proposed show satisfactory performance in detecting BPSK with shorter received signals.

引用

页码：693 / 701

页数：9

共 50 条

[21] Cryptanalysis of speech signals ciphered by TSP using annealed Hopfield Neural Network and genetic algorithms
Apolinario, JA
Mendonca, PRS
Chaves, RO
Caloba, LP
[J]. PROCEEDINGS OF THE 39TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS I-III, 1996, : 821 - 824
[22] Structural analysis by using Hopfield neural network
Wei, Pengsheng
[J]. Huaqiao Daxue Xuebao/Journal of Huaqiao University, 20 (02): : 146 - 149
[23] Security dispatch using the Hopfield neural network
Yalcinoz, T
Short, MJ
Cory, BJ
[J]. IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1999, 146 (05) : 465 - 470
[24] Hopfield Neural Network
Massini, G
[J]. SUBSTANCE USE & MISUSE, 1998, 33 (02) : 481 - 488
[25] Noise removal using hysteretic Hopfield tunnelling network in message transmission systems
Gladis, D.
Thangavel, P.
Nagar, A. K.
[J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2011, 88 (03) : 650 - 660
[26] Blind adaptive multiuser detection using a recurrent neural network
Liu, SB
Wang, J
[J]. 2004 INTERNATIONAL CONFERENCE ON COMMUNICATION, CIRCUITS, AND SYSTEMS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS - VOL 2: SIGNAL PROCESSING, CIRCUITS AND SYSTEMS, 2004, : 1071 - 1075
[27] Blind separation of BPSK signals using Newton's method on the Stiefel manifold
Lu, J
Davidson, TN
Luo, ZQ
[J]. 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PROCEEDINGS: SIGNAL PROCESSING FOR COMMUNICATIONS SPECIAL SESSIONS, 2003, : 301 - 304
[28] Convolutional Neural Network for Drowsiness Detection Using EEG Signals
Chaabene, Siwar
Bouaziz, Bassem
Boudaya, Amal
Hoekelmann, Anita
Ammar, Achraf
Chaari, Lotfi
[J]. SENSORS, 2021, 21 (05) : 1 - 19
[29] Blind restoration of nonlinearly mixed signals using multilayer polynomial neural network
Woo, WL
Khor, LC
[J]. IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 2004, 151 (01): : 51 - 61
[30] Using Hopfield network for multiuser signal detection
Quan, QY
Hu, JD
[J]. ICC 98 - 1998 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS VOLS 1-3, 1998, : 1794 - 1798

← 1 2 3 4 5 →