西安电子科技大学学报（自然科学版）2017，Vol.44Issue(5)：134-139,6.DOI:10.3969/j.issn.1001-2400.2017.05.023
一种分数低阶时频分解的盲波束形成算法
Blind beamforming algorithm based on fractional lower-order time-frequency decomposition
摘要
Abstract
A novel blind beamforming algorithm based on fractional lower-order time-frequency decomposition(TFD)is proposed to improve the performance of existing blind beamforming algorithms in impulsive noise environment.The traditional short-time Fourier transform (STFT) is first improved by utilizing fractional lower-order statistics to realize TFD in impulsive noise environment. Then, by combining the clustering method and the method for the uncertainty set,the TFD results of the receiving data at each sensor are used to realize the estimation of steering vectors (SV).Finally,the optimal weight coefficients of the proposed blind beamformer are achieved by substituting the estimated SV into the minimum variance distortionless response (MVDR) beamformer.Simulation results demonstrate that this algorithm can achieve superior output performance over the existing blind beamforming methods in impulsive noise environment.The proposed algorithm hardly needs any specific property of the receiving signals and can be more widely used.关键词
时频分解/分数低阶统计量/盲波束形成/对称alpha稳定分布Key words
time-frequency decomposition/fractional lower-order statistics/blind beamforming/symmetric alpha stable distribution分类
信息技术与安全科学引用本文复制引用
陈沛,赵拥军,刘成城,李海文..一种分数低阶时频分解的盲波束形成算法[J].西安电子科技大学学报（自然科学版）,2017,44(5):134-139,6.基金项目
国家自然科学基金资助项目(61401469) （61401469）
