Modulation Recognition of MFSK Signals Based on Multifractal Spectrum

Authors:
Chunhui Zhao;Weichao Yang
Affiliations:
College of Information and Communication Engineering, Harbin Engineering University, Harbin, People's Republic of China 150001;College of Information and Communication Engineering, Harbin Engineering University, Harbin, People's Republic of China 150001
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

Citing 15
Cited 0

Direction finding in non-Gaussian impulsive noise environments

Digital Signal Processing
Bounds on Inter-carrier Interference Power of OFDM in a Gaussian Scattering Channel

Wireless Personal Communications: An International Journal
Inter-carrier interference power of OFDM in a uniform scattering channel

Computer Communications
Digital Modulation Recognition Method Based on Tree-Structured Neural Networks

ICCSN '09 Proceedings of the 2009 International Conference on Communication Software and Networks
Intelligent Decision Making System for Digital Modulation Scheme Classification in Software Radio Using Wavelet Transform and Higher Order Statistical Moments

Wireless Personal Communications: An International Journal
Multifractal correlation characteristic for radar detecting low-observable target in sea clutter

Signal Processing
On mathematical derivations of auto-term functions and signal-to-noise ratios of the Choi--Williams, first- and nth-order hyperbolic kernels

Digital Signal Processing
Research on Speaker Recognition Based on Multifractal Spectrum Feature

ICCMS '10 Proceedings of the 2010 Second International Conference on Computer Modeling and Simulation - Volume 01
BER of OFDM with diversity and pulse shaping in Rayleigh fading environments

Digital Signal Processing
Cyclostationarity-Based Modulation Classification of Linear Digital Modulations in Flat Fading Channels

Wireless Personal Communications: An International Journal
Diversity combining over rayleigh fading channels with symmetric alpha-stable noise

IEEE Transactions on Wireless Communications
A mathematical approach to edge detection in hyperbolic-distributed and Gaussian-distributed pixel-intensity images using hyperbolic and Gaussian masks

Digital Signal Processing
A fast MATLAB program to estimate the multifractal spectrum of multidimensional data: Application to fractures

Computers & Geosciences
Fast estimation of the parameters of alpha-stable impulsiveinterference

IEEE Transactions on Signal Processing
The estimation of stable distribution parameters from teletrafficdata

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to solve the problem that modulation recognition of MFSK signals in alpha-stable distribution noise, a novel algorithm using multifractal spectrum is proposed. Multifractal spectrum characteristics of signals and noise are discussed firstly. Then algorithm extracts the difference between maximum and minimum values of spectrum as classification feature. Finally, algorithm employs threshold decision method to achieve modulation recognition of 2FSK, 4FSK and 8FSK signals. Numerical results show that algorithm has good performance in both alpha-stable distribution noise and Gaussian noise, and it is less affected by characteristic exponent of noise and data points.