Tracking Performance of Semi-Supervised Large Margin Classifiers in Automatic Modulation Classification
Journal Title: Journal of Information Systems and Telecommunication - Year 2014, Vol 2, Issue 4
Abstract
Automatic modulation classification (AMC) in detected signals is an intermediate step between signal detection and demodulation, and is also an essential task for an intelligent receiver in various civil and military applications. In this paper, we propose a semi-supervised Large margin AMC and evaluate it on tracking the received signal to noise ratio (SNR) changes to classify all forms of signals in a cognitive radio environment. To achieve this objective, two structures for self-training of large margin classifiers were developed in additive white Gaussian noise (AWGN) channels with priori unknown SNR. A suitable combination of the higher order statistics and instantaneous characteristics of digital modulation are selected as effective features. Simulation results show that adding unlabeled input samples to the training set, improve the tracking capacity of the presented system to robust against environmental SNR changes.
Authors and Affiliations
Hamidreza Hosseinzadeh, Farbod Razzazi, Afrooz Haghbin
Keywords
Related Articles
- EP ID EP185879
- DOI 10.7508/jist.2014.04.007
- Views 133
- Downloads 0
Security Analysis of Scalar Costa Scheme Against Known Message Attack in DCT-Domain Image Watermarking
This paper proposes an accurate information-theoretic security analysis of Scalar Costa Scheme (SCS) when the SCS is employed in the embedding layer of digital image watermarking. For this purpose, Discrete Cosine Transf...
Accurate Fire Detection System for Various Environments using Gaussian Mixture Model and HSV Space
Smart and timely detection of fire can be very useful in coping with this phenomenon and its inhibition. Enhancing some image analysis methods such as converting RGB image to HSV image, smart selecting the threshold in f...
Joint Relay Selection and Power Allocation in MIMO Cooperative Cognitive Radio Networks
In this work, the issue of joint relay selection and power allocation in Underlay MIMO Cooperative Cognitive Radio Networks (U-MIMO-CCRN) is addressed. The system consists of a number of secondary users (SUs) in the seco...
A New Recursive Algorithm for Universal Coding of Integers
In this paper, we aim to encode the set of all positive integers so that the codewords not only be uniquely decodable but also be an instantaneous set of binary sequences. Elias introduces three recursive algorithms for...
A Conflict Resolution Approach using Prioritization Strategy
In current air traffic control system and especially in free flight method, the resolution of conflicts between different aircrafts is a critical problem. In recent years, conflict detection and resolution problem has be...