| Summary: | 碩士 === 國立中正大學 === 電機工程研究所 === 88 === In this thesis, two different blind detectors, the complementary subspace-based blind LDD and compressed minimum variance (CMV) blind MMSE detector, are proposed. It is shown that both of these schemes can be adopted with the prior knowledge of only the desired user’s signature waveform and its timing. The former is based on complementary subspace concept. Our approach here uses a geometric operator that generates the orthogonal complement of the interfering subspace to cancel the interference. By estimating the orthogonal complement of the interfering subspace, the LDD can be obtained blindly. The latter is based on a compressed notion and the minimum mean-square-error (MMSE) concept to find the close form of the blind detector. Compared with the previous subspace-based blind multiuser detection scheme, it is seen that both of the proposed methods have lower computational complexity. Furthermore, they also have better resistance against the orthogonality error of the estimated eigenspace.
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