Performance evaluation of sparse adaptive radio astronomy arrays

Details Performance evaluation of sparse adaptive radio astronomy arrays Performance evaluation of sparse adaptive radio astronomy arrays

Nov 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001spie.4474..189f&link_type=abstract

Proc. SPIE Vol. 4474, p. 189-200, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, Franklin T. Luk;

Computer Science

Performance

Scientific paper

Spatial filtering is a promising method of Radio Frequency Interference (RFI) mitigation in radio interferometric systems, but there are no quantitative results concerning the performance of radio astronomy arrays using this technique. In this paper performance bounds are calculated for sparse arrays, typical in radio astronomy (VLA, WSRT, GMRT). Two parameters are proposed to characterize the benefits of spatial filtering: gain and loss. Calculations show that the adaptive nulling method for the sparse arrays generates a complex spatial structure of gain and loss as the functions of angular distance between a radio source of interest and RFI source. The geometry of the array strongly influences on the performance of the RFI mitigation. This factor should be taken into consideration while designing new radio astronomy arrays.

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