Monitoring High-Dynamic Wideband Orthogonal Frequency Division Multiplexing Signal Under Weak Prior Knowledge

In the context of the escalating requirement for high-throughput multimedia services, Orthogonal Frequency Division Multiplexing (OFDM) signal systems have become increasingly prevalent in Low Earth Orbit (LEO) satellite communications. In order to promote the judicious, efficient, and cost-effective deployment of satellite spectrum resources, there is a critical need to augment the capabilities of spectrum monitoring technology for uncollaborative LEO satellite OFDM signals. Addressing the complexities inherent in the broad bandwidth, substantial dynamic range, and weak prior knowledge associated with LEO satellite OFDM signal monitoring, this study introduces an innovative methodology. This approach harnesses a broadband parallel flexible filtering variable sampling technique to facilitate the real-time observation of satellite OFDM signals across a wide bandwidth spectrum. Moreover, the research presents a dynamic compensation technique, which utilizes ephemeris information, to mitigate frequency offset and amplitude fading issues within the monitored signals. Post compensation, the study conducts signal identification and parameter analysis, utilizing the intrinsic features of OFDM signals. This technique empowers real-time monitoring and the accurate analysis of satellite broadband OFDM signals, ensuring robust performance in scenarios characterized by weak prior knowledge and significant dynamic variations.