Adaptive AGC Applebaum array

Kyu Man Lee, Dong Seog Han, Myeong Je Cho

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

When the difference of the signal power between multiple interference signals is very large, the conventional adaptive array can't remove all the interference signals effectively. This causes a slow convergence rate and degrades the performance of the array system. The reason is that the adaptive array adapts only the interference signal having the highest power. In this paper, we propose an improved adaptive array structure from the signal-to-interference-plus-noise ratio (SINR) point of view. We utilize correlation improvement techniques between the input and the array output signals by controlling the gain of the array output signal. The proposed array called the automatic gain controlled (AGC) Applebaum array works well in multiple interference signals with different power levels. We can get the performance improvement of about 25 dB in SINR and much faster convergence rate over the conventional one.

Original languageEnglish
Pages661-665
Number of pages5
StatePublished - 1999
EventIEEE Military Communications Conference (MILCOM 1999) - Atlantic City, NJ, USA
Duration: 31 Oct 19993 Nov 1999

Conference

ConferenceIEEE Military Communications Conference (MILCOM 1999)
CityAtlantic City, NJ, USA
Period31/10/993/11/99

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