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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
Blind beamforming for extracting noncircular signals without a prior knowledge on the desired steering vector is considered in this paper. Three second-order statistic based blind schemes, termed as subspace decomposition, self-reference, and extraction power maximization methods, respectively, are proposed to extract one desired noncircular signal from a number of statistically independent circular interferences in the presence of circular Gaussian noise with arbitrary and unknown correlation structure. Two joint second- and fourth-order cumulant based methods are also developed for the case of multiple noncircular interferences. One is ESPRIT (estimation of signal parameters via rotational invariance techniques) type method. The other represents a real-valued extension of the WL-MVDR (widely linear minimum variance distortionless response). Numerical examples are shown to illustrate the performance of the proposed methods. The latest version of this online-only showing has also been submitted to IET Signal Processing.
Keywords:Array signal processing;adaptive arrays;noncircular signals;blind beamforming