MIMO Detection Research And Implementation On FPGA

Multiple-input multiple-output (MIMO) wireless communication technology in recent years a major breakthrough in its communications transmitter and receiver are using multiple antennas, without increasing the signal transmission power and bandwidth with a substantial increase communication system channel capacity and transmission reliability, a key to next-generation wireless communications technologies. MIMO multi-antenna transmission technique improves the system's channel capacity and reliability, but also increased the difficulty of signal detection receiver, the MIMO signal detection techniques become an important research topic.This research work at home and abroad based on the MIMO system, signal detection techniques are studied, an improved algorithm, and simulation experiments and performance analysis.This paper studies the system model and MIMO channel capacity theory, in this based on the description of the traditional MIMO signal detection algorithms, including maximum likelihood detection algorithm, linear detection algorithm, nonlinear detection algorithm and the QR decomposition detection algorithm.The traditional signal detection operation is simple, but have no practical application flaws. Maximum likelihood detection algorithm complexity and the number of exponential relationship between the antenna and the remaining algorithms are deficient in terms of performance.This article focuses on some new detection algorithms in the recent years such as LSD (List Sphere Detection, list sphere decoding) algorithm and the MCMC (Monte Carlo Markov Chain) algorithm.An improved MCMC algorithm is proposed to improve the detection performance. The simulation results shows that it has better performance than the traditional one.