摘要
针对大多数空间谱估计方法在单快拍情况下失效的问题,本文以奇异值分解为基本手段,提出一种直接利用单快拍阵列接收数据构造长方形伪协方差矩阵的方法模型。相比于已有构造Hermitian矩阵的伪协方差矩阵构造方法,本文提出的构造方法一方面等效阵列维度更高,角度估计性能更优;另一方面,其基本构造模型兼容已有构造方法,更具一般性。理论分析和仿真试验验证了本文提出构造方法的正确性和有效性。
Most of spatial spectrum estimation methods fail when there is only one valid snapshot.To deal with this issue,an oblong pseudo covariance matrix construction model utilizing array receiving signal based on singular value decomposition（SVD） is proposed.Comparing with the existing Hermitian pseudo covariance matrix construction method,firstly,the equivalent dimensionality of array of the proposing method is higher,which insures a better performance of angle estimation;secondly,the proposing model contains the existing method and is more flexible and general.Theoretical analysis and simulation results verify the correctness and effectiveness of the proposed method and model.
作者
蒋柏峰
吴琨
吕晓德
JIANG Bai-feng WU Kun LV Xiao-de(China Academy of Electronics and Information Technology, Beijing 100041, China National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
出处
《中国电子科学研究院学报》
北大核心
2017年第1期60-66,共7页
Journal of China Academy of Electronics and Information Technology
关键词
阵列信号处理
DOA估计
单快拍
奇异值分解
array signal processing
direction-of-arrive（DOA） estimation
single snapshot
singular value decomposition（SVD）
