Automatic modulation classification (AMC) is a key step of signal demodulation that
determines whether the receiver can correctly receive the transmitted signal without prior …

Target recognition mainly focuses on three approaches: optical-image-based, echo-
detection-based, and passive signal-analysis-based methods. Among them, the passive …

Automatic modulation classification (AMC) is gaining greater significance in both military
and civilian contexts. However, the diversity and dynamics of actual wireless communication …

Deep learning has been widely used in various tasks such as computer vision, natural
language processing, predictive analysis, and recommendation systems in the past decade …

The use of deep learning for radio modulation recognition has become prevalent in recent
years. This approach automatically extracts high-dimensional features from large datasets …

Signal modulation classification (SMC) has attracted extensive attention for its wide
application in the military and civil fields. The current direction of combining deep-learning …

Recent advancements in sensing, measurement, and computing technologies have
significantly expanded the potential for signal-based applications, leveraging the synergy …

Deep learning methods have achieved outstanding performance in various signal tasks.
However, due to degraded signals in real electromagnetic environment, it is crucial to seek …

Frequency Modulation (FM) broadcast signals, regarded as opportunistic signals, hold
significant potential for indoor and outdoor positioning applications. The existing FM-based …

Cognitive radio-based Internet of Things (CR-IoTs) provide an efficient spectrum
management for IoT networks with massive wireless access and data transmission needs …