Spatial Filtering of RF Interference in Radio Astronomy Using a Reference Antenna Array
| Autor: | Albert-Jan Boonstra, Alle-Jan van der Veen, Ahmad Mouri Sardarabadi |
|---|---|
| Přispěvatelé: | Astronomy |
| Rok vydání: | 2016 |
| Předmět: |
Covariance matrices
Computer science spatial filtering Smart antenna 02 engineering and technology radio astronomy Interference (wave propagation) 01 natural sciences Electromagnetic interference Sensor array reference antenna 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Electronic engineering Antenna arrays Electrical and Electronic Engineering Arrays 010303 astronomy & astrophysics Computer Science::Information Theory Spatial filter business.industry interference cancellation Astrophysics::Instrumentation and Methods for Astrophysics 020206 networking & telecommunications Single antenna interference cancellation Array signal processing Signal Processing Reference antenna Interference Noise Signal processing algorithms Telecommunications business Telescopes Radio astronomy |
| Zdroj: | IEEE Transactions on Signal Processing, 64(2), 432-447 |
| ISSN: | 1941-0476 1053-587X |
| DOI: | 10.1109/tsp.2015.2483481 |
| Popis: | Radio astronomical observations are increasingly contaminated by RF interference. Assuming an array of telescopes, a previous technique considered spatial filtering based on projecting out the interferer array signature vector. A disadvantage is that this effectively reduces the array by one (expensive) telescope. In this paper, we consider extending the astronomical array with a reference antenna array, and develop spatial filtering algorithms for this situation. The information from the reference antennas improves the quality of the interferer signature vector estimation, hence more of the interference can be projected out. Moreover, since only the covariance data of the astronomical array has to be reconstructed, the conditioning of the problem improves as well. The algorithms are tested both on simulated and experimental data. |
| Databáze: | OpenAIRE |
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