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Min Ma, Shanrong Liu, Shufei Wang and Shengnan Shi
Automatic modulation classification (AMC) plays a crucial role in wireless communication by identifying the modulation scheme of received signals, bridging signal reception and demodulation. Its main challenge lies in performing accurate signal processin...
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Bochi Guo, Yu Liu, Hui Zhou, Wei Yan and Shuanggen Zhang
Automatic modulation recognition (AMR) provides excellent performance advantages over conventional algorithms and plays a key role in modern communication. However, a general challenge is that the channel errors greatly deteriorate the classification cap...
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Florin Radu, Petru A. Cotfas, Marian Alexandru, Titus C. Balan, Vlad Popescu and Daniel T. Cotfas
In this paper, we present the implementation of a system that identifies the modulation of complex radio signals. This is realized using an artificial intelligence model developed, trained, and integrated with Microsoft Azure cloud. We consider that clou...
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Malik Zohaib Nisar, Muhammad Sohail Ibrahim, Muhammad Usman and Jeong-A Lee
Automatic modulation classification (AMC) is a vital process in wireless communication systems that is fundamentally a classification problem. It is employed to automatically determine the type of modulation of a received signal. Deep learning (DL) metho...
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Rui Zhang, Zhendong Yin, Zhilu Wu and Siyang Zhou
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Sang Hoon Lee, Kwang-Yul Kim and Yoan Shin
Recently, in order to satisfy the requirements of commercial communication systems and military communication systems, automatic modulation classification (AMC) schemes have been considered. As a result, various artificial intelligence algorithms such as...
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Sahar Ujan, Neda Navidi and Rene Jr Landry
The Quality of Service (QoS) and security of Satellite Communication (Satcom) are crucial as Satcom plays a significant role in a wide range of applications, such as direct broadcast satellite, earth observation, navigation, and government/military syste...
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Min Zhang, Zhongwei Yu, Hai Wang, Hongbo Qin, Wei Zhao and Yan Liu
Neural network shows great potential in modulation classification because of its excellent accuracy and achievability but overfitting and memorizing data noise often happen in previous researches on automatic digital modulation classifier. To solve this ...
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Mingxuan Li, Ou Li, Guangyi Liu and Ce Zhang
Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in developin...
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Arfan Haider Wahla, Lan Chen, Yali Wang and Rong Chen
Automatic Classification of Wireless Signals (ACWS), which is an intermediate step between signal detection and demodulation, is investigated in this paper. ACWS plays a crucial role in several military and non-military applications, by identifying inter...
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