搜索资源列表
SVD
- 常规DOA谱估计music算法在多径环境下失效，SVD算法利用最大特征值对应的特征矢量重新构造奇异值矩阵，可以成功估计相干信号。-Conventional music spectrum estimation algorithm for DOA in multipath environment, failure, SVD algorithm using the maximum eigenvalue of the feature vector corresponding to re-construc
farSVDDOA1
- 实现了信号相位匹配原理奇异值分解的远场目标DOA估计，该算法指向性尖锐分辨率高-The arithmetic solved the estimate of far-filed signal s direction of arrival,based on the principle of signal macthed phase SVD.
estimation-algorithm-
- 基于SVD和Toeplitz的高效DOA估计算法-Toeplitz estimation algorithm based on SVD and efficient DOA
DOA-Chen-
- 基于增广数据陈SVD的MNM 信号DOA估计算法-Estimation algorithm based on the augmented data signal DOA Chen SVD of MNM
L1 SVD
- 利用压缩感知实现波达方向估计，运用奇异值分解对接收信号进行降维，再利用L1范数进行估计(The DOA estimation is realized by compressed sensing, and the singular value decomposition is used to reduce the received signal, and then the L1 norm is used to estimate the DOA)
SparseDOA
- 使用l1-svd的方法求解DOA估计问题(Using the l1-svd method to solve the DOA estimation problem)