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	可适应稀疏度变化的非均匀范数约束水声信道估计算法; Non-uniform Norm Constraint Estimation Algorithm for Underwater Acoustic Channels at the Presence of Varying Sparsity
	伍飞云 ; 周跃海 ; 童峰 ; 方世良
	2014-09-15
关键词	声学 最小均方算法 非均匀范数 信道估计 范数约束 acoustics least mean square algorithm non-uniform norm channel estimation norm constraint
英文摘要	对于具有典型时频双重扩展特性的水声信道,利用其稀疏分布特性在估计算法中引入范数约束可提高信道估计性能。但当水声信道多径稀疏度变化时,经典的l0或l1范数约束由于缺乏对不同稀疏模式的适应性,将导致性能下降。通过引入非均匀范数约束自适应算法并对其进行收敛性分析,针对水声信道稀疏度变化利用该算法通过非均匀范数的形式提高适应性。不同接收深度水声信道的仿真及海上实验结果表明,该算法相对经典的l0或l1范数约束算法有较明显的性能改善。; For the typical underwater acoustic channels with time-frequency double extension characteristics,the channel estimation performance can be improved by introducing a norm constraint into the channel estimation algorithm based on the sparse distribution feature of the channels.However,at the presence of varying multipath structure caused by change of depth or velocity gradient,the classic l0 or l1norm constraint methods are subject to performance degradation due to lack of adaptability to sparsity.A previously derived non-uniform norm constraint LMS( NNCLMS) algorithm is introduced,and then a convergence analysis is made on it.In the form of non-uniform norm,the NNCLMS algorithm is used to accommodate the different sparsities caused by different multipath structures.Numerical simulation and sea experimental results show that the estimation performance of the proposed method is superior to that of the classic l0 or l1norm constraint algorithm.; 国家自然科学基金项目(11274259); 东南大学水声信号处理教育部重点实验室开放研究基金项目(UASP1305)
语种	zh_CN
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/104741]
专题	海洋环境－已发表论文
推荐引用方式 GB/T 7714	伍飞云,周跃海,童峰,等. 可适应稀疏度变化的非均匀范数约束水声信道估计算法, Non-uniform Norm Constraint Estimation Algorithm for Underwater Acoustic Channels at the Presence of Varying Sparsity[J],2014.
APA	伍飞云,周跃海,童峰,&方世良.(2014).可适应稀疏度变化的非均匀范数约束水声信道估计算法..
MLA	伍飞云,et al."可适应稀疏度变化的非均匀范数约束水声信道估计算法".(2014).

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