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Eliminating the interferences among antennas is the first issue for effectively utilizing the spatial degree of freedoms of multiple-input multiple-output (MIMO) systems. Singular value decomposition (SVD) method plays an important role for interference elimination through a joint transceiver way, where the singular vectors are often used for linear unitary precoding (UP). However, directly applying...
A novel 2-dimensional DOA estimation algorithm is proposed based on the signal phase matching (SPM) principle using an acoustic vector-sensor, which a reference virtual-point is inducted to the center of the vector-sensors for deriving the representation of the time delay equation (TDE) in the SPM principle. Then, according to the TDE and the singular value decomposition (SVD) theory, we can implement...
Due to the large computational load of the signal phase matching (SPM) principle for DOA estimation, a novel immune genetic algorithm (NIGA) was proposed to search the optimal solutions of the singular value decomposition based SPM direction finding algorithm (SVDSPM). The proposed algorithm used the two-individual mean information entropy for the immune selection, assigned the different weight to...
The 3dB beamwidth of the DOA estimation method based on the singular value decomposition of the signal phase matching principle (SVDSPM) was about 1/3 to 1/2 as much as that obtained by MUSIC at different SNR. However, the SVDSPM algorithm searched the optimal solutions with certain frequency, and the complexity and computational load of optimizing the variables prevented it from applications in the...
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