Original scientific paper
https://doi.org/https://doi.org/10.24138/jcomss-2023-0189
Automatic Digital Modulation Recognition in the Presence of Phase Offset
Tigran A. Grigoryan
orcid.org/0009-0002-9974-241X
; National Polytechnic University of Armenia, Armenia
*
Martin Ts. Ayvazyan
; State Engineering University of Armenia, Armenia
Lilit Kh. Khachatryan
; National Polytechnic University of Armenia, Armenia
* Corresponding author.
Abstract
Automatic Digital Modulation Recognition (ADMR) is a critical component in modern communication systems, enabling efficient and flexible data transmission. This paper investigates the challenges associated with ADMR in scenarios where the received signal has a phase offset. A set of features, extracted from the instantaneous amplitude and phase of the signal, is proposed for the implementation of ADMR algorithms. An artificial neural network (ANN) based recognition system is developed in the LabVIEW programming environment to classify four types of digital modulation: BPSK, QPSK, 16-QAM and 64-QAM. The simulation results indicate that the developed classifier can effectively operate in the presence of additive white Gaussian noise (AWGN) and a phase offset in the signal. The implemented ADMR algorithm achieves a recognition probability of approximately 97-99% in the signal-to-noise ratio (SNR) rangeof 7-30 dB for each phase offset value. The proposed ADMR algorithms achieve high recognition accuracy using fewer computational resources than other existing works.
Keywords
automatic digital modulation recognition; feature extraction; phase offset; neural network
Hrčak ID:
317773
URI
Publication date:
30.6.2024.
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