Research On Detection Algorithms In MIMO Systems

High-speed data communication service is constantly growing with the rapid development of wireless communication technologies, as well as the integration of the Internet and mobile communications. Multiple-input multiple-output (MIMO) technology can improve the system capacity significantly and achieve better system performance without increasing the transmitting power and losing the bandwidth. These advantages make MIMO technology favored in today's spectrum resources shortage problem when the need of system capacity is still dramatically increasing. Signal detection is a key technical issue of the MIMO system.First, the background, significance and research status of MIMO technology in domestic and overseas are introduced. The basic concepts of MIMO system and channel capacity are also discussed. Furthermore, the formulations of channel capacity and simulation results under different systems are derived. Since the V-BLAST system can sufficiently utilize the capacity of MIMO, the structure of V-BLAST system, basis principles are discussed as well as several traditional detection algorithms such as including ML, MMSE, ZF, OSIC, QR, SQRD, and suboptimal SD. Finally, the performance of various algorithms is provided through Matlab.Compared with the optimal algorithm, the performance of the linear algorithm is poor. The article focuses on a sub-optimal tree search detection algorithm-QRD-M detection algorithm, and analyzes the principle and realization of algorithm. Based on the extended channel ranking QR decomposition, a new algorithm is discussed. The new sort-free algorithm can reduce the complexity of sorting in path searching process. Compared with traditional QRD-M algorithm, the proposed algorithm not only reduces the computational complexity significantly, but also improves the algorithm performance.