Research On Equalization Techniques For MIMO-OFDM Systems

People began to multimedia services and wireless data requirements increase, the promotion of high-speed broadband wireless communications application of new technologies and development. MIMO-OFDM is a transmitter and receiver are using multiple antennas, and in each of the transmitting antenna on both the use of OFDM modulation techniques. MIMO system can linearly increase the channel capacity, breaking the single-input single-output channel Shannon capacity limit. OFDM receiver can greatly simplify the baseband processing unit, and can increase the data rate. In wireless communications, MIMO-OFDM can win the high data rate and large system capacity without additional power or bandwidth, MIMO-OFDM system has become the key to 4G technologies. Wireless channel transmission in order to eliminate crosstalk between the code, usually at the receiving end the baseband signal processing in the first channel estimate, and then use the estimated channel to receive data on the balance at the same time, is being widely used coherent detection technology needs have accurate channel estimation technology to support, which are made channel estimation and equalization technology to become the next generation of communication research hot spots.The main systematic introduction of MIMO-OFDM system, which describes the OFDM system, respectively, MIMO system, the principles, detailed description of the MIMO-OFDM systems, MIMO-described The basic principle of OFDM systems introduces MIMO-OFDM system, key technologies, including space-time, or space-frequency encoding and decoding, for example:frame synchronization, carrier frequency offset estimate, channel estimation. Detailed analysis of the introduction of the MIMO-OFDM systems, and linear and nonlinear equilibrium balanced approach, listing the specific algorithm and validated by simulation.In-depth study of the Pilot symbol methods and the two balance training sequence-based methods, for RLS, given the corresponding improved algorithm. At last, MATLAB simulation of the feasibility and effectiveness of these algorithms for analysis and comparison.