MIMO Technology And Its Application And Research Of Baseband Processing At Side Of LTE

With the development and social progress, wireless communication technology has made great development of correspondence between the ancient times to the era of ubiquitous wireless connectivity, to support various data services of3G. As the demand for new driven,3GPP has proposed LTE (Long Term Evolution) system to achieve higher data rates and better communication services. MIMO technology is one key of the applications of the system LTE. Without increasing the system bandwidth, MIMO technology not only can improve the system throughput effectively and spectral efficiency, but also can improve link reliability and signal to noise ratio. As a result, MIMO technology is the emphases of research and development direction of the fields of communication both at home and abroad. This paper describes and LTE communication system based on MIMO technology, to further explore the LTE base station side group with a course of providing treatment and MIMO signal processing in which the location, well set up the MIMO processing Channel, estimation of the FPGA implementation.This thesis briefly introduces the LTE system, and introduces the LTE system uplink process converts the baseband signal. And LTE standard physical layer frame structure for a detailed explanation.Secondly, MIMO technology and describes the structure of the basic principles of MIMO systems, including the receive diversity, transmit diversity and spatial multiplexing diversity. Furthermore, MIMO communication technology related algorithms analyzed and compared.Finally, set the MIMO processing system side LTE base station receives a position baseband processor, based on the base station of Xilinx V6LTE MIMO process on the reception side programs and hardware platform architecture equipment design, considering the performance and complexity, MIMO channel estimation algorithm uses the least squares algorithm, which is compared, although almost MMSE Chamber of Commerce in terms of performance, but more easily implemented in hardware and other functions, and use matrix inversion method, which to some extent, improve performance to achieve, therefore, in terms of performance and complexity, a good compromise, then, MIMO channel estimation performance simulation and detailed design process, the results meet the design requirements, debugging and verification.