inverse matrix
2016-08-23
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HK K, jhklb, khlkbn, khklb, kjhkl estimate array correlation matrices R11, R22 from data samples. ■ understand that the array correlation matrix is a subarray, and the total number of sources can be estimated by the number of large eigenvectors, whether in R11 or R22. The signal subspaces E1 and E2 are calculated based on the eigenvectors of the signal. For ula, one can optionally construct & nbsp; a signal subspace from an embodiment of the entire array signal subspace. Ex is a two-dimensional matrix composed of M × signal eigenvector. E1 can con Group & nbsp; by selecting the first m / 2 + 1 row ((M + 1) / 2 + 1 is odd structured & nbsp; array). E2 can build an instance of & nbsp; ((M + 1) / 2 + 1 is an odd array) by selecting the last m / 2 + 1 row.
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