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"DTIC ADA585671: Extraction Of A Weak Co-Channel Interfering Communication Signal Using Complex Independent Component Analysis" and the language of the book is English.


“DTIC ADA585671: Extraction Of A Weak Co-Channel Interfering Communication Signal Using Complex Independent Component Analysis” Metadata:

  • Title: ➤  DTIC ADA585671: Extraction Of A Weak Co-Channel Interfering Communication Signal Using Complex Independent Component Analysis
  • Author: ➤  
  • Language: English

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  • Internet Archive ID: DTIC_ADA585671

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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.

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  • Added Date: 2018-09-14 18:29:12
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