Extraction of a Weak Co-Channel Interfering Communication Signal Using Complex Independent Component Analysis
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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Independent Component Analysis ICA has largely been applied to the biomedical field over the past two decades and only recently extended to the processing of complex non-circular sources. The feasibility and performance of complex ICA to extract a weak co-channel interfering communications signal from a television broadcast signal is investigated in this thesis. The performance of three algorithms, complex maximization of non-Gaussianity CMN by Novey et al., RobustICA by Zarzoso et al., and complex fixed-point algorithm CFPA by Douglas, over varied interference-to-noise ratios INR for a fixed signal-to-interference ratio SIR is obtained by simulation. The communication signals examined for the weak interferer are binary phase-shift keying BPSK, four-level rectangular quadrature amplitude modulation 4-QAM, and 16-level rectangular quadrature amplitude modulation 16-QAM, and the television broadcast signals are North American standard, Advanced Television Systems Committee ATSC and European standard, Digital Video Broadcasting - Terrestrial DVB-T. Improved performance and sensitivity to the prewhitening step present in the ICA implementations are shown as the number of sensors increases.
- Radio Communications