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Indexed by:会议论文

Date of Publication:2008-10-12

Included Journals:EI、CPCI-S、Scopus

Page Number:1824-1827

Key Words:cyclostationarity; least mean square; beamforming; uniform linear array (ULA)

Abstract:The conventional adaptive least mean square (LMS) algorithm has been utilized in array antenna beamforming to direct the radiated power towards the desired signal and null the multipath signals. In this paper, LMS algorithm is investigated for inputs from cyclostationary random processes. According to cyclostationarity of error signal, a novel cost function and recursive algorithm are presented and applied in beamforming. The simulation results indicate that the performances of the proposed algorithm are better than those of the conventional LMS algorithm and Block LMS (BLMS) algorithm in respect of convergence rate and steady state mean square error.