cdma_matongbu

一个DELPHI使用迅雷SDK下载文件的小例子.(A small example of using DELPHI to download files with the Thunder SDK.)

this project simulate the voice communication between two subscriber stations in office scaled module and test the communications between them

手机中RF的基础知识，想学习RF知识的朋友有一定的帮助作用。 (phone RF the basic knowledge, to study RF knowledge friends to a certain extent help.)

针对Massive MIMO的详尽全面的仿真。(A detailed and comprehensive simulation for massive MIMO system.)

在嘈杂的非线性渠道，采用LMS算法，设计新颖的数字均衡器。(DESIGN OF NOVEL DIGITAL EQUALIZERS FOR NOISY NONLINEAR CHANNEL USING LMS ALGORITHM.)

宽带OFDM信号模型的建立，用于宽带OFDM信号的DOA估计，已经用于毕业设计(Wideband OFDM signal model, for broadband OFDM signal DOA estimation, has been used for graduation)

说明：  基于Matlab的压缩感知信道估计算法 基于导频的信道估计 MMSE算法(Compressed Sensing Channel Estimation Based on MATLAB)

该文为CDMA移动通信功率控制算法的研究与仿真的本科毕业论文(In this paper, the CDMA mobile communication power control algorithm and simulation of undergraduate thesis)

卫星通讯DVBS2 中对编码性能测试，通过比较最后的误码率和信噪比的关系，判断结果(satellite communication)

在 OFDM 数学原理和收发模型的基础上，本文对帧同步、定时同步、频率同 步和采样同步给 OFDM 系统所产生的影响进行了理论分析，同时讨论了基于循环 前缀或训练符号的典型 OFDM 同步算法。参考 802.11a 突发数据帧结构和系统参 数，分析几种 OFDM 同步算法用于突发分组传输的性能；在分析了几种经典的信 道估计算法基础上,通过对复杂度和性能的折衷，选择一种适合本文系统的估计 算法。最后作者提出一种改进型 LS 信道估计算法，该算法考虑了 LS 算法中噪声 的影响，从而提高了低信噪比下信道估计的精度。仿真结果表明，改进算法在低 信噪比下具有良好的性能。 (OFDM mathematical principles and transceiver model based on frame synchronization, timing synchronization, frequency synchronization and sampling synchronization to the OFDM system, the impact of the theoretical analysis are also discussed based on the cyclic prefix or training symbols typical OFDM synchronization algorithm . Reference 802.11a burst data frame structure and system parameters, analyze several OFDM synchronization algorithm for burst packet transmission performance several classic channel estimation algorithm based on a compromise between complexity and performance, select a suitable estimation algorithm in this article. Finally, the author proposed a modified LS channel estimation algorithm that takes into account the effects of noise in the LS algorithm, thus improving the low SNR channel estimation accuracy. Simulation results show that the improved algorithm has good performance in low signal-to-noise ratio.)