The simulation results demonstrate the effectiveness of the proposed approach and the higher resolution in a lower signal-to-noise ratio environment.%针对准平稳信号的波达方向估计,提出一种基于Khatri-Rao(KR)积的联合稀疏分解算法.该算法借助KR积将阵列接收数据表示成多个虚拟联合稀疏测量矢量模型,通过求解联合...
As a study to perform high-definition imaging with a small number of antenna elements, we applied virtual array processing of Khatri-Rao (KR) products. However, the virtual array processing of KR products assumes uncorrelated wave incidence in principle [2]. Therefore, in this paper, we showed...
appliedafterKhatri-Rao(KR)productarrayprocessing(KR-ideasofKR-MUSICandCS-MUSIC,whichcancopewiththe MUSIC)[3],[4].Moreover,itwasshownthatKR-MUSICnumberofomingsignalsgreaterthanboththatof cancopewithN(N−1)omingwaveswiththeoptimumsensorsandofframes.Computersimulationsareconducted ...
To overcome this difficulty, we propose to apply the Khatri-Rao (KR) product array processing to the SAR Tomography which enhance the array aperture and... 山田,敏弘,山田,寛喜,山口,芳雄 - 《電子情報通信学会技術研究報告. a・p, アンテナ・伝播》 被引量: 0发表: 2012年 矩阵的Khatri-...
In this work we establish the Restricted Isometry Property (RIP) of the centered column-wise self Khatri-Rao (KR) products of $nimes N$ matrix with iid columns drawn either uniformly from a sphere or with iid sub-Gaussian entries. The self KR product is an $n^2imes N$-matrix which con...
Khatri-Rao积(KR积) 输入:A,B两个矩阵,要求两矩阵列数一致 输出:维度为(A行数*B行数)*列数的矩阵。 计算过程:A,B矩阵相同列做kron积运算,并逐列摆放组成结果矩阵。 举例: A=[1 2;3 4],B=[5 6;7 8] 其中AB均为2*2的矩阵,得到(2*2)*2=4*2的矩阵。 第一列:用A的第一列和B的第一列...
Khatri-Rao product of two matricesYiwen ZhangHua Zhou
Khatri-Rao ProductNathaniel E. Helwig
Random Khatri-Rao-Product Codes for Numerically-Stable Distributed Matrix Multiplicationdoi:10.1109/ALLERTON.2019.8919859Adarsh M. SubramaniamAnoosheh HeidarzadehKrishna R. NarayananIEEE
Khatri–RaosubspaceA novel DOA estimation method for uncorrelated wideband sources named focusing Khatri–Rao subspace method (FKR) is proposed based on coherent signal-subspace method (CSM) and Khatri–Rao (KR) subspace. Compared with the conventional CSM that simply averages the covariance matrices...