机译:一种二维DOA估计方法,在展开基准L形阵列中减少复杂性
Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China;
Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China|Beijing Univ Posts & Telecommun Inst Sensing Technol & Business Wuxi 214135 Jiangsu Peoples R China;
Natl Innovat Inst Def Technol Artificial Intelligence Res Ctr Beijing 100166 Peoples R China|Beijing Univ Posts & Telecommun Sch Informat & Commun Beijing 100876 Peoples R China;
Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China;
Estimation; Direction-of-arrival estimation; Multiple signal classification; Complexity theory; Signal processing algorithms; Covariance matrices; Two dimensional displays; L-shaped array; multiple signal classification (MUSIC); reduced complexity; two-dimensional direction of arrival (2-D DOA); unfolded coprime array;
机译:用L形CopRime阵列激发参数和2-D偏振源的DOAS估计
机译:用于二维到达方向估计的展开的互质L形阵列
机译:用于DOA估计的L形共阵列结构
机译:稀疏均匀L形阵列的高效无网格二维DOA估计方法
机译:用于到达方向估计的增强型空间平滑和互质数组
机译:展开的互质线性阵列的高分辨率和低复杂度DOA估计方法
机译:具有展开的Coprime线性阵列的高分辨率和低复杂性DOA估计方法
机译:通过现代二维频谱估计方法进行saR成像。第1卷。成像方法