Research Article | OPEN ACCESS
Higher Order Cummulants based Digital Modulation Recognition Scheme
1Sajjad Ahmed Ghauri, 2, 3Ijaz Mansoor Qureshi, 1, 3Aqdas Naveed Malik and 1, 3Tanveer Ahmed Cheema
1NUML, Islamabad, Pakistan
2Air University, Islamabad, Pakistan
3Institute of Signals, Systems and Soft Computing (ISSS), Pakistan
Research Journal of Applied Sciences, Engineering and Technology 2013 20:3910-3915
Received: April 04, 2013 | Accepted: April 29, 2013 | Published: November 10, 2013
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.
Keywords:
Additive White Gaussian Noise (AWGN), Higher Order Cummulants (HOC), Modulation Recognition (MR), Probability of Correctness (POC),
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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