精品文档---下载后可任意编辑MIMO 系统检测算法讨论及收发技术联合设计的开题报告摘要：本文主要针对多输入多输出（MIMO）系统的检测算法和收发技术进行联合设计讨论。首先对 MIMO 系统和检测算法进行了简要介绍，并分析了传统 MIMO 检测算法的优缺点。其次，针对已有的 MIMO 检测算法存在的问题，提出了一种基于神经网络的MIMO 检测算法。该算法利用神经网络的高自适应性和非线性表达能力，能够实现复杂信道的检测，并在一定程度上提高检测性能。最后，通过联合优化设计接收机与发射机的参数，尝试进一步提高 MIMO 系统的通信性能。关键词：MIMO 系统；检测算法；神经网络；联合设计；通信性能Abstract:This paper mainly studies the joint design of detection algorithm and transceiver technology for multiple input multiple output (MIMO) systems. Firstly, a brief introduction to MIMO system and detection algorithm is given, and the advantages and disadvantages of traditional MIMO detection algorithm are analyzed. Secondly, aiming at the problems existing in the existing MIMO detection algorithm, a neural network based MIMO detection algorithm is proposed. The algorithm can detect complex channels with the high adaptability and non-linear expression ability of neural network, which can improve the detection performance to some extent. Finally, through the joint optimization design of receiver and transmitter parameters, we try to further improve the communication performance of MIMO system.Keywords: MIMO system; detection algorithm; neural network; joint design; communication performance一、讨论背景与意义随着移动通信技术的不断进展，对高速率、高品质无线通信的需求越来越迫切。多输入多输出（MIMO）技术因其能够显著提高无线通信系统的吞吐量、提高通信品质等优点，成为近年来讨论热点。MIMO 系统中的检测算法是通信链路中最关键的部分之一，其性能直接影响到系统的通信质量和可靠性。因此，如何设计高效的 MIMO 检测算法，一直是学术界和工业界关注的焦点之一。现有的 MIMO 检测算法大致可分为线性和非线性两种...
