电波科学学报2012，Vol.27Issue(5)：886-891,6.
基于稀疏互质L型阵列的二维测向算法
Two-dimentional direction finding using a sparse coprime L-sharped array
摘要
Abstract
The sparse array with determined elements can increase the array aperture to improve two-dimentional direction-of-arrival (2D-DOA)accuracy, but it brings direction finding ambiguity too. To solve this problem, A sparse coprime L- shaped array and two-dimensional direction finding algorithm based on it are presented. The proposed algorithm utilizes the array extending capability of fourth-order cumulant and the coprime relationship between the interelement spacings in L- shaped array so that 2D-DOA without ambiguity can be realized under sparse array structure. Compared with two-dimentional virtual-ESPRIT algorithm, the proposed algorithm allows the spacings between the reference elements more than one-half wavelength,which leads to improve directi'on finding accuracy. Meanwhile, the larger system tolerance is guaranteed by a step-by-step reduction of the number of ambiguities. Computer simulation results verify the effectiveness of the proposed algorithm.关键词
稀疏互质/L型阵列/二维波达角估计/四阶累积量Key words
sparse coprime/L-sharped arrays/2D-DOA/fourth-order cumulant分类
信息技术与安全科学引用本文复制引用
邵华,苏卫民,顾红,王灿..基于稀疏互质L型阵列的二维测向算法[J].电波科学学报,2012,27(5):886-891,6.基金项目
基金项目：南京理工大学自主科研专项计划资助项目 （）
部预研基金 （）
高等学校博士学科点专项科研基金 （）
