2013 IEEE 77th Vehicular Technology Conference (VTC Spring) 2013
DOI: 10.1109/vtcspring.2013.6692772
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Cited by 16 publications
(11 citation statements)
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“…In order to overcome the shortcomings of the above algorithms, especially [13], we proposed an improved joint SVD and ILSP algorithm to effectively improve the detection performance and reduce the computational complexity of the channel estimation in massive MIMO system. Moreover, the proposed scheme will be compared with the existing techniques to provide a clear indication of the relative advantages of the proposed algorithm over the existing algorithms.…”
Section: Related Workmentioning
confidence: 99%
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“…In order to overcome the shortcomings of the above algorithms, especially [13], we proposed an improved joint SVD and ILSP algorithm to effectively improve the detection performance and reduce the computational complexity of the channel estimation in massive MIMO system. Moreover, the proposed scheme will be compared with the existing techniques to provide a clear indication of the relative advantages of the proposed algorithm over the existing algorithms.…”
Section: Related Workmentioning
confidence: 99%
“…The precondition is that each channel vector is approximately orthogonal, but the actual situation is that the channel vector is not completely orthogonal, so there is a certain deviation in the method. In [13], a semi-blind channel estimation algorithm based on Singular Value Decomposition (SVD) is proposed for massive MIMO system. Compared to the EVD estimation performance, the performance of the SVD algorithm is significantly improved.…”
Section: Introductionmentioning
confidence: 99%
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