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使用复杂独立分量分析提取弱同信道干扰的通信信号研究
Extraction of a Weak Co-Channel Interfering Communication Signal Using Complex Independent Component Analysis
作者:Hagstette, M. E. 作者单位:Naval Postgraduate School, Monterey, CA. 加工时间:2014-04-11 信息来源:科技报告(AD) 索取原文[71 页]
关键词:通信;独立分量提取;无线电信号;同信道干扰
摘 要: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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