Higher Order Cummulants based Digital Modulation Recognition Scheme

Sajjad Ahmed Ghauri,Ijaz Mansoor Qureshi,Tanveer Ahmed Cheema,Aqdas Naveed Malik

doi:10.19026/rjaset.6.3609

Sajjad Ahmed Ghauri, Ijaz Mansoor Qureshi + Show 2 more

Open Access

https://doi.org/10.19026/rjaset.6.3609

Copy DOI

Abstract

In this study, we have presented that Higher Order Cummulants (HOC) based modulation recognition scheme for Pulse Amplitude Modulation (PAM), Quadrature Amplitude Modulation (QAM) and Phase Shift Keying (PSK) modulated signals having orders of 2 to 64. Modulation recognition is a process to recognize the signal modulation type which is received by the receiver in the presence of channel noise. The HOC based MR is accomplished in two modules. First is feature extraction using higher order cummulants. These features are distinct for different modulated signals. Second is recognition process which gives decision based upon the features extracted from higher order cummulants. The Probability of Correctness (POC) curves shows the recognition accuracy for sample size and number of iterations. The Additive White Gaussian Noise (AWGN) is considered throughout the simulations.

Highlights

Modulation Recognition (MR) is the intermediate step between detection of the information contained in the signal and demodulation of signal
AutomaticModulation Recognition (AMR) is to recognize the received signal modulation type, which has undergone through channel effects like fading, noise and interference etc., during transmission of the signal
In Feature Based (FB) approach modulation recognition is carried out in two modules; the first module is feature extraction subsystem, in which features are extracted from the received signal with channel effects; the second module is pattern recognizer subsystem, in which features extracted from the received signal are compared with the theoretical values of the reference features and determines the modulation type of transmitted signal

Summary

Introduction

Modulation Recognition (MR) is the intermediate step between detection of the information contained in the signal and demodulation of signal. The major techniques of automatic modulation recognition are decision theoretic methods and pattern recognition. The decision theoretic approach is based on likelihood function of the received signal.

Results

Conclusion