Software Defined Radio

Software-defined radio (SDR) allows flexible reconfiguration of radio frequency systems through software, enabling diverse applications from communication systems to sensing and signal processing. Current research emphasizes using SDRs with machine learning, particularly deep neural networks (CNNs, LSTMs), to address challenges like signal classification (modulation, emitter identification), channel estimation, and activity recognition in various environments. This adaptability makes SDR a powerful tool for developing innovative solutions in areas such as robotics, healthcare monitoring (e.g., contactless vital sign detection), and secure wireless communication, improving performance and robustness in complex scenarios.