摘要
文中引入非均匀采样对阵列通道进行建模,提出一种基于阵列非均匀采样的DOA估计方法.该方法利用非均匀采样的时间间隔随机性,每一次快拍都等效于随机改变空间阵元的间隔,相当于基于虚拟阵列变换得到一个时变的自适应的虚拟非均匀阵列结构.基于阵列非均匀采样的空间谱估计能突破空域采样定理的限制,使用较大的阵元间距检测出来波方向,克服了均匀采样条件下阵元间距增大引起的角度模糊现象,而且增大的阵元间距也提高了空间谱估计的分辨率和精度.进一步的实验表明该方法的有效性并改善了小信噪比条件DOA估计精度.
In this work,the channel outputs are sampled on nonuniform sampling sets,and the problem of spatial spectrum estimation using nonuniform sampling(NUS)at various sensors is investigated.In this method,considering the character of NUS with the random time interval,NUS in time domain is equivalent to alter the relative distance between sensors and lead to the planewaves impinge a time-varying adaptive virtual nonuniform linear array based on virtual array transformation.Owing to anti-alias feature of NUS at va...
出处
《微电子学与计算机》
CSCD
北大核心
2009年第2期76-79,共4页
Microelectronics & Computer
基金
国防“十一五”预研项目
关键词
非均匀采样
空间谱估计
虚拟阵列变换
角度模糊
nonuniform sampling
spatial spectrum estimation
virtual array transformation
angle-measure ambiguity
