Patent
Complexity-fixed sphere decoding algorithm for MIMO (Multiple-Input Multiple-Output) receiver signal search
Mingwei Mo,Chun He,Yubai Li +2 more
- 15 Aug 2012
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TL;DR: In this article, a complexity-fixed sphere decoding algorithm for MIMO (Multiple-Input Multiple-Output) receiver signal search is proposed, which is implemented through the following steps of: (a) preprocessing a channel matrix, (b) respectively carrying out Choleskey factorization and zero-forcing equalization calculation on the preprocessed matrix; (c) carrying out iterative search by using the results of Choleskeys factorization, and (d) figuring out soft bit information according to searched results.
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Abstract: The invention discloses a complexity-fixed sphere decoding algorithm for MIMO (Multiple-Input Multiple-Output) receiver signal search. The sphere decoding algorithm is implemented through the following steps of: (a) preprocessing a channel matrix; (b) respectively carrying out Choleskey factorization and zero-forcing equalization calculation on the preprocessed matrix; (c) carrying out iterative search by using the results of Choleskey factorization and zero-forcing equalization; and (d) figuring out soft bit information according to searched results. The complexity-fixed sphere decoding algorithm for the MIMO receiver signal search aims at overcoming the defects that the sphere decoding algorithm is difficult to be applicable to systems with fixed data processing rates and the throughput rate is lower, the fixing of the complexity of the sphere decoding algorithm is realized, meanwhile, the algorithm can very conveniently adopt parallel and pipeline processing, the throughput rate is increased and the power loss of hardware equipment is lowered.
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Citations
Patent
MIMO (multiple input and multiple output) detection method based on lattice reduction
Qin Xiaobo,He Guanghui,Xu Bing +2 more
- 02 Dec 2015
TL;DR: In this article, a MIMO (multiple input and multiple output) detection method based on lattice reduction is proposed, which comprises the steps of 1, carrying out QR decomposition on a channel matrix, 2,carrying out a QRCLLLSTM reduction operation, 3, calculating boundary information expanded by tree search according to a result of the step 2, 4,carry out selective fast enumeration expansion in an LR region according to boundary restriction, 5, converting a vector set acquired by completion of tree search into a constellation point region, and 6, acquiring
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References
Patent
Sphere-decoding detection method with fixed complexity
Lihua Li,Ping Zhang,Qi Sun,Lei Song,Xiaoliang Xu +4 more
- 29 Jun 2011
TL;DR: In this article, a sphere decoding detection method with fixed complexity is proposed, which is based on the minimum mean squared error (MMSE) criterion to obtain a group of displacement series and ordered upper triangular matrixes of elements on diagonal lines.
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Patent
Communication method of MIMO-STC (Multiple Input Multiple Output-Space Time Code) wireless communication transmission system
Peiran Wu,Yongqiang Zhang +1 more
- 29 Dec 2010
TL;DR: In this article, an MIMO-STC (Multiple Input Multiple Output-Space Time Code) wireless communication transmission system is proposed, which includes the steps of: acquiring an optimal beam forming matrix according to channel statistic characteristics and an adopted minimum codon difference matrix subjected to space time coding; when sending data, carrying out power distribution and beam direction adjustment on a codon subjected to the space-time coding by using the optimal beam-forming matrix after modulating and coding initial data to be sent, and then sending a formed signal; and after receiving the signal by a
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Patent
Signal detection method and device for multiple-input multiple-output system
Zhu Dengkui,Lu Zhaohua +1 more
- 15 Dec 2011
TL;DR: In this article, a signal detection method for a multiple-input multiple-output (MIMO) system is proposed, which includes: setting a Signal-to-Noise Ratio (SNR) threshold, obtaining the SNR of a current channel; detecting the signal by employing a Sphere Decoding (SD) algorithm; and when the SNRs is not greater than the threshold, detecting the signals by employing the K-best algorithm.
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