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## Improved QR Decomposition-Based SIC Detection Algorithm for MIMO System (2013)

### Citations

2913 | Capacity of multi-antenna gaussian channels
- Telatar
- 1999
(Show Context)
Citation Context ...tion. A lot of efforts have been put into the search of detection algorithms achieving ML or near-ML performance with lower complexity. The popular reduced-complexity alternative technique is the V-BLAST detection algorithm and QR decomposition-based successive interference cancellation detection algorithm. For these detection algorithms, incorrect symbol detection in the early layers will create errors in the following layers, so they are easy to suffer from the error propagation problem. The following layers depend highly on the results of the first detected layers (Foschini and Gans, 1998; Telatar, 1999; Zheng et al., 2011; Seethaler and Bolcskei, 2010; Zhang et al., 2012; Chen and Sheen, 2011; Chen and Yu, 2007; Chen et al., 2007; Xu et al., 2008). In order to improve the detection performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by... |

2418 | On limits of wireless communications in a fading environment when using multiple antennas
- Foschini, Gans
- 1998
(Show Context)
Citation Context ...wer than that of ML detection. A lot of efforts have been put into the search of detection algorithms achieving ML or near-ML performance with lower complexity. The popular reduced-complexity alternative technique is the V-BLAST detection algorithm and QR decomposition-based successive interference cancellation detection algorithm. For these detection algorithms, incorrect symbol detection in the early layers will create errors in the following layers, so they are easy to suffer from the error propagation problem. The following layers depend highly on the results of the first detected layers (Foschini and Gans, 1998; Telatar, 1999; Zheng et al., 2011; Seethaler and Bolcskei, 2010; Zhang et al., 2012; Chen and Sheen, 2011; Chen and Yu, 2007; Chen et al., 2007; Xu et al., 2008). In order to improve the detection performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performan... |

641 | VBLAST: an architecture for realizing very high data rates over the richscattering wireless channel
- Wolniansky, Foschini, et al.
- 1998
(Show Context)
Citation Context ...r to improve the detection performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order according to the rule of SNR without calculations of pseudo-inverses (Wolniansky et al., 1998; Golden and Foschini, 1999; Chang et al., 2010; Kyeong et al., 2008). On the other hand, due to the error propagation, the overall performance is determined by the first layers to be decoded, we proposed an improved method to increase the validity of the first layers detection (Lin Res. J. Appl. Sci. Eng. Technol., 5(4): 1251-1256, 2013 1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the p... |

378 | Detection algorithm and initial laboratory results using V-BLAST space–time communication architecture,” Electron
- Golden, Foschini, et al.
- 1999
(Show Context)
Citation Context ...n performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order according to the rule of SNR without calculations of pseudo-inverses (Wolniansky et al., 1998; Golden and Foschini, 1999; Chang et al., 2010; Kyeong et al., 2008). On the other hand, due to the error propagation, the overall performance is determined by the first layers to be decoded, we proposed an improved method to increase the validity of the first layers detection (Lin Res. J. Appl. Sci. Eng. Technol., 5(4): 1251-1256, 2013 1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the partial accumulated metrics ... |

34 | Efficient algorithm for detecting layered space-time codes.
- Wübben, Rinas, et al.
- 2001
(Show Context)
Citation Context ...1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the partial accumulated metrics are calculated and ordered, which gives a sequence set of the first L layers, from the sequence, we select the first T sequences from the set with the smallest partial accumulated metrics, then successive interference cancellation algorithm is used to search the left layers (Jia et al., 2008; Kang et al., 2008; Wübben et al., 2001). Finally, the minimum accumulated metric symbol is put out as the transmitted symbols. The proposed scheme provides 2 trade-off parameters with better performance and low complexity. SYSTEM MODEL AND ORIGINAL ALGORITHM Description of system model: Here we consider the un-coded MIMO system consisting of M transmitted antennas at the transmitter and N antennas at the receiver (M≤N ). The wireless channel is assumed to be quasi-static, so that the channel remains constant during a block of certain length and changes to an independent realization for the next block. The received signal vector can... |

20 | Soft-input soft-output single tree-search sphere decoding.
- Studer, Bolcskei
- 2010
(Show Context)
Citation Context ...introduce a new sorted method which can obtain the best detection order according to the rule of SNR without calculations of pseudo-inverses (Wolniansky et al., 1998; Golden and Foschini, 1999; Chang et al., 2010; Kyeong et al., 2008). On the other hand, due to the error propagation, the overall performance is determined by the first layers to be decoded, we proposed an improved method to increase the validity of the first layers detection (Lin Res. J. Appl. Sci. Eng. Technol., 5(4): 1251-1256, 2013 1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the partial accumulated metrics are calculated and ordered, which gives a sequence set of the first L layers, from the sequence, we select the first T sequences from the set with the smallest partial accumulated metrics, then successive interference cancellation algorithm is used to search the left layers (Jia et al., 2008; Kang et al., 2008; Wübben et al., 2001). Finally, the minimum accumulated metric symbol is put out as the transmitted symbols. The proposed ... |

16 | MIMO detection for high-order QAM based on a Gaussian tree approximation,”
- Goldberger, Leshem
- 2011
(Show Context)
Citation Context ...e. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order according to the rule of SNR without calculations of pseudo-inverses (Wolniansky et al., 1998; Golden and Foschini, 1999; Chang et al., 2010; Kyeong et al., 2008). On the other hand, due to the error propagation, the overall performance is determined by the first layers to be decoded, we proposed an improved method to increase the validity of the first layers detection (Lin Res. J. Appl. Sci. Eng. Technol., 5(4): 1251-1256, 2013 1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the partial accumulated metrics are calculated and ordered, which gives a sequence set of the first L layers, from the sequence, we select the first T sequences from the set with the smallest partial accumulated metrics, then successive interference cancellation algorithm is used to search the left layers (Jia et al., 2008; Kang et al., 2008; Wübben et al., 2001). Finally, the minimum accumulated metric symbol is put out as the transm... |

10 |
Performance and complexity analysis of infinity-norm spheredecoding.
- Seethaler, Bolcskei
- 2010
(Show Context)
Citation Context ...t into the search of detection algorithms achieving ML or near-ML performance with lower complexity. The popular reduced-complexity alternative technique is the V-BLAST detection algorithm and QR decomposition-based successive interference cancellation detection algorithm. For these detection algorithms, incorrect symbol detection in the early layers will create errors in the following layers, so they are easy to suffer from the error propagation problem. The following layers depend highly on the results of the first detected layers (Foschini and Gans, 1998; Telatar, 1999; Zheng et al., 2011; Seethaler and Bolcskei, 2010; Zhang et al., 2012; Chen and Sheen, 2011; Chen and Yu, 2007; Chen et al., 2007; Xu et al., 2008). In order to improve the detection performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which... |

5 |
Breadth-first signal decoder: A Novel maximum-likelihood scheme for multiinput–multi-output systems.
- Kang, Song, et al.
- 2008
(Show Context)
Citation Context ...): 1251-1256, 2013 1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the partial accumulated metrics are calculated and ordered, which gives a sequence set of the first L layers, from the sequence, we select the first T sequences from the set with the smallest partial accumulated metrics, then successive interference cancellation algorithm is used to search the left layers (Jia et al., 2008; Kang et al., 2008; Wübben et al., 2001). Finally, the minimum accumulated metric symbol is put out as the transmitted symbols. The proposed scheme provides 2 trade-off parameters with better performance and low complexity. SYSTEM MODEL AND ORIGINAL ALGORITHM Description of system model: Here we consider the un-coded MIMO system consisting of M transmitted antennas at the transmitter and N antennas at the receiver (M≤N ). The wireless channel is assumed to be quasi-static, so that the channel remains constant during a block of certain length and changes to an independent realization for the next block. The rece... |

4 | QRD-based antenna selection for ML detection of spatial multiplexing MIMO systems: Algorithms and applications. - Lin, Wu - 2011 |

3 |
ZF V-BLAST for Imperfect MIMO channels using average performance optimization.
- Chen, Yu
- 2007
(Show Context)
Citation Context ...mance with lower complexity. The popular reduced-complexity alternative technique is the V-BLAST detection algorithm and QR decomposition-based successive interference cancellation detection algorithm. For these detection algorithms, incorrect symbol detection in the early layers will create errors in the following layers, so they are easy to suffer from the error propagation problem. The following layers depend highly on the results of the first detected layers (Foschini and Gans, 1998; Telatar, 1999; Zheng et al., 2011; Seethaler and Bolcskei, 2010; Zhang et al., 2012; Chen and Sheen, 2011; Chen and Yu, 2007; Chen et al., 2007; Xu et al., 2008). In order to improve the detection performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order according to the rule of... |

3 |
QRDbased precoded MIMO-OFDM systems with reduced feedback.
- Kyeong, Pun, et al.
- 2008
(Show Context)
Citation Context ... be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order according to the rule of SNR without calculations of pseudo-inverses (Wolniansky et al., 1998; Golden and Foschini, 1999; Chang et al., 2010; Kyeong et al., 2008). On the other hand, due to the error propagation, the overall performance is determined by the first layers to be decoded, we proposed an improved method to increase the validity of the first layers detection (Lin Res. J. Appl. Sci. Eng. Technol., 5(4): 1251-1256, 2013 1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the partial accumulated metrics are calculated and ordered, which gives a ... |

3 |
Real-valued fixedcomplexity sphere decoder for high dimensional qam-mimo systems
- Zheng, Chu, et al.
- 2011
(Show Context)
Citation Context ...efforts have been put into the search of detection algorithms achieving ML or near-ML performance with lower complexity. The popular reduced-complexity alternative technique is the V-BLAST detection algorithm and QR decomposition-based successive interference cancellation detection algorithm. For these detection algorithms, incorrect symbol detection in the early layers will create errors in the following layers, so they are easy to suffer from the error propagation problem. The following layers depend highly on the results of the first detected layers (Foschini and Gans, 1998; Telatar, 1999; Zheng et al., 2011; Seethaler and Bolcskei, 2010; Zhang et al., 2012; Chen and Sheen, 2011; Chen and Yu, 2007; Chen et al., 2007; Xu et al., 2008). In order to improve the detection performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we intro... |

2 | Best-First Tree Search with Probabilistic Node Ordering for MIMO Detection: Generalization and Performance-Complexity Tradeoff,
- Chang, Chung
- 2012
(Show Context)
Citation Context ...st of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order according to the rule of SNR without calculations of pseudo-inverses (Wolniansky et al., 1998; Golden and Foschini, 1999; Chang et al., 2010; Kyeong et al., 2008). On the other hand, due to the error propagation, the overall performance is determined by the first layers to be decoded, we proposed an improved method to increase the validity of the first layers detection (Lin Res. J. Appl. Sci. Eng. Technol., 5(4): 1251-1256, 2013 1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the partial accumulated metrics are calculated and ordered, which gives a sequence set of the first L layers, from the sequence, we select the first T sequences from the set with the smallest partial accumulated metrics, then successive interference cancellation algorithm is used to search the left layers (Jia et al., 2008; Kang et al., 2008; Wübben et al., 2001). Finally, the minimum accumulated metric sy... |

2 | A new Lattice Reduction Algorithm for LR-Aided MIMO Linear Detection,
- Chen, Sheen
- 2011
(Show Context)
Citation Context ...g ML or near-ML performance with lower complexity. The popular reduced-complexity alternative technique is the V-BLAST detection algorithm and QR decomposition-based successive interference cancellation detection algorithm. For these detection algorithms, incorrect symbol detection in the early layers will create errors in the following layers, so they are easy to suffer from the error propagation problem. The following layers depend highly on the results of the first detected layers (Foschini and Gans, 1998; Telatar, 1999; Zheng et al., 2011; Seethaler and Bolcskei, 2010; Zhang et al., 2012; Chen and Sheen, 2011; Chen and Yu, 2007; Chen et al., 2007; Xu et al., 2008). In order to improve the detection performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order accor... |

2 | A Diagonal Lattice Reduction Algorithm for MIMO Detection.
- Zhang, Qiao, et al.
- 2012
(Show Context)
Citation Context ... algorithms achieving ML or near-ML performance with lower complexity. The popular reduced-complexity alternative technique is the V-BLAST detection algorithm and QR decomposition-based successive interference cancellation detection algorithm. For these detection algorithms, incorrect symbol detection in the early layers will create errors in the following layers, so they are easy to suffer from the error propagation problem. The following layers depend highly on the results of the first detected layers (Foschini and Gans, 1998; Telatar, 1999; Zheng et al., 2011; Seethaler and Bolcskei, 2010; Zhang et al., 2012; Chen and Sheen, 2011; Chen and Yu, 2007; Chen et al., 2007; Xu et al., 2008). In order to improve the detection performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best... |

1 |
Iterative Decomposition Architecture using the modified gram-schmidt algorithm for MIMO systems.
- Chang, Chih-Hung, et al.
- 2010
(Show Context)
Citation Context ...tected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order according to the rule of SNR without calculations of pseudo-inverses (Wolniansky et al., 1998; Golden and Foschini, 1999; Chang et al., 2010; Kyeong et al., 2008). On the other hand, due to the error propagation, the overall performance is determined by the first layers to be decoded, we proposed an improved method to increase the validity of the first layers detection (Lin Res. J. Appl. Sci. Eng. Technol., 5(4): 1251-1256, 2013 1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the partial accumulated metrics are calculated and o... |

1 | A low complexity near maximum likelihood vblast algorithm for MIMO systems.
- Chen, Liang, et al.
- 2007
(Show Context)
Citation Context ...mplexity. The popular reduced-complexity alternative technique is the V-BLAST detection algorithm and QR decomposition-based successive interference cancellation detection algorithm. For these detection algorithms, incorrect symbol detection in the early layers will create errors in the following layers, so they are easy to suffer from the error propagation problem. The following layers depend highly on the results of the first detected layers (Foschini and Gans, 1998; Telatar, 1999; Zheng et al., 2011; Seethaler and Bolcskei, 2010; Zhang et al., 2012; Chen and Sheen, 2011; Chen and Yu, 2007; Chen et al., 2007; Xu et al., 2008). In order to improve the detection performance, the first detected layers should be cancelled perfectly. Some improved detection algorithms have been proposed in the literatures. Two kinds of detection method are combined together, or different searching methods like tree search are used in MIMO detection. Ordered QR decomposition of channel matrix can be utilized to reduce the complexity of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order according to the rule of SNR without calcul... |

1 | Depth-First and breadth-first search based multilevel SGA Algorithms for near optimal symbol detection in MIMO systems. - Technol - 2013 |

1 |
Combined QRD-M and DFE detection technique for simple and efficient signal detection in MIMO-OFDM systems.
- Myung-Sun, Young-Hwan, et al.
- 2009
(Show Context)
Citation Context ...y of detection at the cost of lowing performance. Inspired by this idea, we introduce a new sorted method which can obtain the best detection order according to the rule of SNR without calculations of pseudo-inverses (Wolniansky et al., 1998; Golden and Foschini, 1999; Chang et al., 2010; Kyeong et al., 2008). On the other hand, due to the error propagation, the overall performance is determined by the first layers to be decoded, we proposed an improved method to increase the validity of the first layers detection (Lin Res. J. Appl. Sci. Eng. Technol., 5(4): 1251-1256, 2013 1252 and Wu, 2011; Myung-Sun et al., 2009; Chang and Chung, 2012; Goldberger and Leshem, 2011; Studer and Bolcskei, 2010). After performing improved sorted QR decomposition of the channel matrix, the ML detection of symbols with length L is performed and the partial accumulated metrics are calculated and ordered, which gives a sequence set of the first L layers, from the sequence, we select the first T sequences from the set with the smallest partial accumulated metrics, then successive interference cancellation algorithm is used to search the left layers (Jia et al., 2008; Kang et al., 2008; Wübben et al., 2001). Finally, the minimu... |