MIMO检测2.ppt

* LR-based linear detection 2. LR-Based Detection Denote by and . Then, the received signal becomes After the LLL algorithm, we have On one hand, let the conventional ZF detection be carried out to make the detection * LR-based linear detection 2. LR-Based Detection On the other hand, we use the LR-based ZF detection Then, the estimation of s is given by This provide a correct solution. * LR-based SIC detection 2. LR-Based Detection For the LR-based SIC detector, Then, the SIC detection is carried out to detect , and we have * LR-based SIC detection 2. LR-Based Detection E.g., Consider a 2x2 channel matrix After the LLL algorithm, we have * LR-based SIC detection 2. LR-Based Detection Using QR factorization with the received signal * LR-based SIC detection 2. LR-Based Detection On the one hand, using the conventional SIC detection Symbols are detected sequentially as follows * LR-based SIC detection 2. LR-Based Detection On the other hand, with the orthogonal matrix G, the LR-based ZF–SIC detection is carried out with the QR factorization Then * LR-based SIC detection 2. LR-Based Detection Then Symbols are detected sequentially as follows This provides a correct solution. Simulation results: * 4-QAM 2x2 MIMO 2. LR-Based Detection 16-QAM 2x2 MIMO Simulation results: * 4-QAM 4x4 MIMO 2. LR-Based Detection 16-QAM 4x4 MIMO * Conclusion and remarks: 2. LR-Based Detection The performance of conventional suboptimal detectors (e.g., linear and SIC detectors) can be improved by using a list; The list-based detectors cannot exploit a full receive diversity order, especially when a large MIMO system is considered; The LR method can improve the performance of suboptimal detectors (e.g., linear and SIC detectors) with reasonably low complexity; A full receive diversity gain can be exploited with the LR-based detection. * Abstract: In this talk, some key MIMO technologies are discussed with emphasis on MIMO detection. After briefly disc