Liu Hongqing

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This paper deals with the problem of robust adaptive array beamforming for cyclostationary signals. By exploiting the signal cyclostationarity, blind adaptive beamforming algorithms have found numerous important applications in signal processing. However, these methods suffer from severe performance degradation even if there is a small mismatch in the cycle(More)
In the paper, an approach is proposed for robust constrained LMS beamforming in the presence of pointing error, array geometry error and sensor phase error (generalized as array phase errors). The basic idea is to search the optimal weight vector with constrained LMS update, and jointly search the actual array steering vector of the desired signal based on(More)
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