Phase--Frequency-Estimation

加窗QPSK-OFDM调制解调，每个OFDM符号采用QPSK调制方式，并画出了时域对比图(Windowed QPSK-OFDM modulation and demodulation, each OFDM symbol using QPSK modulation and a time-domain comparison chart shown)

该程序用matlab仿真了OFDM下行链路的资源分配，包括功率和比特分配、子载波分配(The program matlab simulation the OFDM downside link distribution of resources, including power and bit allocation, the subcarrier allocation )

在gnuradio+usrp上实现OFDM协议，全双工的。(The OFDM agreement on the gnuradio+usrp, full-duplex.)

说明：  利用锁相环来实现MSK信号的定时同步，采用的是gardner算法(Using phase-locked loop to achieve timing synchronization of MSK signal, Gardner algorithm is adopted.)

针对GPS干扰特性，对GPS系统进行猛特卡落干扰仿真(GPS interference characteristics for the GPS system Meng tecka charged interference simulation)

? 了解3G移动通信网中关键技术CDMA的实现原理 ? 掌握matlab编程，实现CDMA原理仿真 ? 掌握matlab语言对于码分复用技术仿真的功能(Understanding the Implementation Principle of the Key Technologies of CDMA in 3G Mobile Communication Network Master the MATLAB programming and realize the simulation of the principle of CDMA Master the function of MATLAB language in simulation of code division multiplexing technology)

通信仿真的学习书籍，simulation中的仿真使用介绍，通信专业初学者适用(Communication simulation learning books, simulation simulation introduction, communication professionals, beginners apply)

OFDM系统matlab仿真，（完美的OFDM仿真程序MATLAB），可以正常运行(OFDM system simulation matlab, (perfect OFDM simulation program MATLAB), you can run)

二进制格雷码与自然二进制码的互换 它就是介绍怎么把二进制格雷码与自然二进制码的互换。主要是异或操作(itis to for 2to 2)

为了对空间辐射源进行精确定位" 建立了基于任意阵列对多目标源进行二维DOA估计的数学模型。将 MUSIC算法推广到三维空间阵列可以对辐射源进行二维高精度测向,但由于其需要估计接收数据的协方差矩阵和进行特征分解, 因而其计算量较大。利用多级维纳滤波器的前向递推获得信号子空间和噪声子空间，不需要估计协方差矩阵和对其进行特征分解，从而降低了MUSIC算法的计算量。将文中的方法应用于任意阵列的二维DOA估计中进行计算机仿真和实际侧向系统性能验证,实验结果均表明该方法达到了MUSIC算法的性能,但与常规MUSIC算法相比降低了计算量.( In order to space radiation source for precise positioning" based on arbitrary array to multiple target source 2D DOA estimation model. The MUSIC algorithm is extended to three-dimensional space to two-dimensional array of radiation source for high precision direction finding, but due to the need to estimate the covariance matrix and eigenvalue decomposition, and the large amount of calculation. Use of multistage Wiener filter forward recursion received signal and noise subspace, does not need to estimate the covariance matrix and the eigenvalue decomposition, which reduces the computation of MUSIC algorithm. This method is applied to an arbitrary array DOA estimation for computer simulation and actual lateral system performance verification, the experimental results show that this method achieves the performance of MUSIC algorithm, but with the conventional MUSIC algorithm reduces the calculation amount.)