MassiveMIMO信号检测算法的性能分析VIP专享

大学本科生毕业设计(论文)摘 要目前 5G 无线通信是一个正热话题，其关键技术之一 Massive MIMO 技术是一个正热的研究领域。在 Massive MIMO 各项技术中，信号检测是一个尤为重要的技术。为了提高系统检测性能、降低计算复杂度且获得很好的各项增益，信号检测算法研究的重要性不言而喻。该文研究了 Massive MIMO 一部分传统的信号检测算法。这其中包括了最为常用的迫零检测算法、最小均方误差检测算法、基于前两者算法的串行干扰检测算法和最大似然检测算法。在 BPSK 和 16-QAM 两种不同的调制方式下，该文运用 MATLAB 进行系统和算法的仿真，通过计算误码率绘制成图分别比较了几个算法的检测性能。仿真结果对比得出，最大似然检测算法性能最优，MMSE-SIC 其次，ZF-SIC优于最小均方误差检测算法，迫零检测算法由于会放大噪声性能最不理想。不过 ML 算法的计算复杂度也最高，检测所需时间长。串行干扰检测算法计算复杂度比线性检测算法要高。通过对比传统信号检测算法可以得知算法中的不足，对后续研究打下基础。- I -关键词： Massive MIMO，信号检测算法，算法性能分析大学本科生毕业设计(论文) Performance Analysis of Massive MIMO signal detection algorithmAbstractNowadays, 5G wireless communication is popular. One of its key technologies, Massive MIMO technology, is a pop research field. Signal detection is one of the most important technologies in Massive MIMO. In order to improve the system detection performance, reduce the computational complexity and obtain better gains, the importance of signal detection algorithm research is self-evident. In this paper, the traditional signal detection algorithms of Massive MIMO are studied, the algorithms are included zero forcing detection algorithm, minimum mean square error detection algorithm, successive interference cancellation detection algorithms which are based on ZF and MMSE, maximum likelihood detection algorithm. MATLAB is used to simulate the wireless communication system and detection algorithm. Under the modulation of BPSK and 16-QAM, the de...