QQ客服 官方微博 反馈留言

	Compressive sensing based beamforming and its application in aeroacoustic experiment
	Wei, Qingkai ; Yu, Wenjun ; Huang, Xun
	2014
英文摘要	Compressive sensing (CS) is a newly emerging method in information technology that could reduce sampling efforts extensively by conducting L1 optimization. In this work, CS is extended to array beamforming applications and two algorithms (CSB-I and CSB-II) are presented with the assumption of spatially sparse and incoherent sound sources. The coherence of measurement matrix are examined separately and compared, and these two algorithms are also examined using both simulation and aeroacoustic experiments. The simulation case clearly shows that the CSB-I algorithm is quite sensitive to the sensing noise. The CSB-II algorithm, on the other hand, is more robust to noisy measurements. In addition, aeroacoustic tests of an airplane model demonstrate the good performance in terms of resolution and sidelobe rejection of CSB-II algorithm.; EI; 0
语种	英语
内容类型	会议论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/316858]
专题	工学院
推荐引用方式 GB/T 7714	Wei, Qingkai,Yu, Wenjun,Huang, Xun. Compressive sensing based beamforming and its application in aeroacoustic experiment[C]. 见:.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。