An Adaptive Beamforming Method Based on Properties of Cyclostationary Signals
Blind beamforming, which consists of recovering signals only from observed instantaneous linear mixtures without a priori information about array manifold, is an important problem in many practical applications including radar, sonar, wireless communication and so on. For blind separation of cyclostationary signals encountered usually in communication, recently, reference 1 proposed a novel approach (ATH3) under the assumption that the cyclic correlation functions of signals are all real number. In this paper, we relaxed this assumption to signals with complex cyclic correlation functions, which is usually this case in practice, and proposed a method to accomplish blind adaptive beamforming. Several numerical simulations also are provided to illustrate the effectiveness of the proposed method.
array signal blind adaptive beamforming cyclostationary cyclic frequency
Rongbo Wang Chaohuan Hou
Institute of Acoustics, Chinese Academy of Sciences, Beijing, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
319-322
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)