Summary
International Symposium on Antennas and Propagation
2006
Session Number:1E2a
Session:
Number:1E2a-2
Novel Adaptive Algorithm using Independent Component Analysis for Array Antenna System
Hidehisa SHIOMI, Takeshi NAKAO, Yasuyuki OKAMURA,
pp.1-4
Publication Date:2006/11/2
Online ISSN:2188-5079
DOI:10.34385/proc.34.1E2a-2
PDF download (305.1KB)
Summary:
In this paper, we propose a novel adaptive algorithm based on Independent Component Analysis (ICA) for multi-antenna systems. The proposed algorithm directly decomposes the observed signals at each antenna directly without any preamble signals or any array responses, when the observed signals are described as a linear combination of statistically independent source signals. The decomposed signals are almost same as the source signals without scale. The apaptive weight vectors are computed by the Minimum Mean Square Error method with the decomposed signals as a reference. The theory of ICA and the experimental results are demonstrated in this paper. The proposed algorithm is useful for the blind signal separation of wireless communication systems and future cognitive wireless systems.