Research on Ofdm and the Single Carrier Signal Modulation Recognition

2015 ◽  
Author(s):  
Gu Yebo ◽  
Yang Minglei
Keyword(s):  
Modulation Recognition ◽  
Signal Modulation ◽  
Single Carrier

Minimum signal modulation scheme based on a single carrier for interleaved operation of parallel phase legs in voltage source converters

2014 ◽  
Vol 7 (5) ◽  
pp. 1305-1312 ◽  
Author(s):  
Gabriel J. Capella ◽  
Igor Gabiola ◽  
Josep Pou ◽  
Jordi Zaragoza ◽  
Salvador Ceballos ◽  
...  
Keyword(s):  
Voltage Source ◽  
Modulation Scheme ◽  
Voltage Source Converters ◽  
Signal Modulation ◽  
Single Carrier

MPSK Signal Modulation Recognition based on Decision Fusion

2021 ◽  
Author(s):  
Jiaxin Lin ◽  
Zhichao Zhou ◽  
Xiangyu Wu ◽  
Changbo Hou
Keyword(s):  
Decision Fusion ◽  
Modulation Recognition ◽  
Signal Modulation

Modulation Recognition of Digital Multimedia Signal Based on Data Feature Selection

2017 ◽  
Vol 8 (3) ◽  
pp. 90-111 ◽  
Author(s):  
Hui Wang ◽  
Li Li Guo ◽  
Yun Lin
Keyword(s):  
Feature Selection ◽  
Information Entropy ◽  
Feature Subset ◽  
Selection Algorithm ◽  
Feature Selection Algorithm ◽  
Modulation Recognition ◽  
Signal Modulation ◽  
Digital Multimedia ◽  
Optimal Feature Subset ◽  
Optimal Feature

Automatic modulation recognition is very important for the receiver design in the broadband multimedia communication system, and the reasonable signal feature extraction and selection algorithm is the key technology of Digital multimedia signal recognition. In this paper, the information entropy is used to extract the single feature, which are power spectrum entropy, wavelet energy spectrum entropy, singular spectrum entropy and Renyi entropy. And then, the feature selection algorithm of distance measurement and Sequential Feature Selection(SFS) are presented to select the optimal feature subset. Finally, the BP neural network is used to classify the signal modulation. The simulation result shows that the four-different information entropy can be used to classify different signal modulation, and the feature selection algorithm is successfully used to choose the optimal feature subset and get the best performance.

scholarly journals Multi-feature radar signal modulation recognition based on improved PSO algorithm

2019 ◽  
Vol 2019 (19) ◽  
pp. 5588-5592 ◽  
Author(s):  
Jing-Peng Gao ◽  
Liang-Xi Shen ◽  
Fang Ye ◽  
Shang-Yue Wang ◽  
Ran Zhang
Keyword(s):  
Pso Algorithm ◽  
Radar Signal ◽  
Modulation Recognition ◽  
Signal Modulation ◽  
Improved Pso
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