Design Of Wireless Communication Baseband Processor Component

As the social needs for wireless communication have changed continuously,wireless communication has developed from simple communication between people and objects toward the communication of any people and any objects at any time.Over the past few decades,with the continuous integration of wireless communications and the Internet,the application of wireless communication technology which aims to achieve a simple exchange of information has developed into an era of connecting everything.With the modulation technology in communication system evolving,every innovative modulation technique is intended to better address the capacity and signal distortion problems in the transmission channel.Therefore,how to achieve reliable data transmission in a variety of undesirable factors,such as multipath effects,frequency selective fading environment and so on,and to improve the utilization of the spectrum as far as possible has become a severe challenge in the wireless communication system design.MIMO-OFDM system meets the high-quality,high-rate requirements of data transmission system by combining the high spectrum efficiency,anti-interference ability of OFDM and the high system capacity of MIMO technology.Wherein the performance and complexity of the receiving machine depend on the quality of MIMO signal detection and synchronization algorithm.Based on a deeper understanding of the MIMO detection and signal synchronization algorithms,we take the phenomenon of mobile terminal adopted as the main part of wireless terminal as the research background and take a careful analysis of the current mainstream algorithms to reduce the complexity of the algorithm and reduce hardware expenses.In order to solve the synchronization problem,we take the fine-grained time-domain CP-based synchronization,the coarse-grained frequency based synchronization and the CP-based symbol timing synchronization and we take the design and hardware implementation of the synchronizations.Meanwhile,for the detection algorithm which is complicated in receive parts,we take some analysis and researches.We focus on the analysis and improvement of the implementation of Matrix Inverse during the research.We use MGS algorithm to lower the computational complexity by doing QR decomposition on the matrix.Meanwhile,to make the hardware resource overhead smaller and hardware design complexity lower,we take a proper division and optimization to the key components with large amount of calculations by analyzing the MMSE computation process.And finally,we design a dedicated processor for MIMO detecting.We use Verilog to design MIMO signal detection and synchronization algorithm,and use Xilinx IP of ISE platform to simplify the design.