Collaboration with Cellular Networks for RFI Cancellation at Radio Telescope
| العنوان: | Collaboration with Cellular Networks for RFI Cancellation at Radio Telescope |
|---|---|
| المؤلفون: | Shuvam Chakraborty, Gregory Hellbourg, Maqsood Careem, Dola Saha, Aveek Dutta |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Signal Processing (eess.SP), Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing |
| الوصف: | The growing need for electromagnetic spectrum to support the next generation (xG) communication networks increasingly generate unwanted radio frequency interference (RFI) in protected bands for radio astronomy. RFI is commonly mitigated at the Radio Telescope without any active collaboration with the interfering sources. In this work, we provide a method of signal characterization and its use in subsequent cancellation, that uses Eigenspaces derived from the telescope and the transmitter signals. This is different from conventional time-frequency domain analysis, which is limited to fixed characterizations (e.g., complex exponential in Fourier methods) that cannot adapt to the changing statistics (e.g., autocorrelation) of the RFI, typically observed in communication systems. We have presented effectiveness of this collaborative method using real-world astronomical signals and practical simulated LTE signals (downlink and uplink) as source of RFI along with propagation conditions based on preset benchmarks and standards. Through our analysis and simulation using these signals, we are able to remove 89.04% of the RFI from cellular networks, which reduces excision at the Telescope and capable of significantly improving throughput as corrupted time frequency bins data becomes usable. 14 pages, 26 figures |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a603f0207b5be54afc728cd31f9513f4 http://arxiv.org/abs/2210.17083 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....a603f0207b5be54afc728cd31f9513f4 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |