Abstract
Designing an automatic modulation classifier (AMC) for high frequency (HF) band is a research challenge. This is due to the recent observation that noise distribution in HF band is changing over time. Existing AMCs are often designed for one type of noise distribution, e.g., additive white Gaussian noise. This means their performance is severely compromised in the presence of HF noise. Therefore, an AMC capable of mitigating the time-varying nature of HF noise is required. This article presents a robust AMC method for the classification of FSK, PSK, OQPSK, QAM, and amplitude-phase shift keying modulations in presence of HF noise using feature-based methods. Here, extracted features are insensitive to symbol synchronization and carrier frequency and phase offsets. The proposed AMC method is simple to implement as it uses decision-tree approach with pre-computed thresholds for signal classification. In addition, it is capable to classify type and order of modulation in both Gaussian and non-Gaussian environments.
Highlights
State-of-the-art digital communications and signal processing techniques have caused a major resurgence in high frequency (HF) communication systems by reducing equipment size, improving communication reliability, and shortening the deployment time
The performance is measured in terms of probability of correct classification (Pcc) averaged over 100 independent trials
In this article, a new features-based decision tree automatic modulation classifier (AMC) algorithm is developed for the classification of most popular single carrier modulations used in HF communications systems, i.e., 2FSK, 4FSK, 8FSK, 2PSK, 4PSK, 8PSK, 16QAM, 32QAM, 64QAM, 16APSK, and 32APSK
Summary
State-of-the-art digital communications and signal processing techniques have caused a major resurgence in high frequency (HF) communication systems by reducing equipment size, improving communication reliability, and shortening the deployment time. In [26], this feature has been further explored for signals propagating via multiple ionospheric modes with co-channel interference and non-Gaussian noise for different types of PSK and FSK modulations.
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