MIMO

基于宽带OFDM信号的DOA估计，采用经典的CSM算法，聚焦后采用传统MUSIC算法，最后通过谱峰搜素算法得到估计的来波角(Based on broadband OFDM signal DOA estimation, using the classical CSM algorithm, after focusing the traditional MUSIC algorithm, and finally through hormone peak search algorithm to estimate the wave angle)

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.)

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

QPSK的调制和解调，解调部分包括时钟和载波的同步等(QPSK modulation and demodulation, the demodulation section includes a clock and carrier synchronization)

利用MATLAB/simulink实现4ASK调制(Using matlab simulink for simulation modulation 4ASk)

说明：  仿真对数正态阴影衰落和仿真了一个BPSK通信系统，并与AWGN信道下的理论误码率结果进行了比较(Log-normal Shadowing PL model;Simulate a BPSK communication system, comparing simulated with theoretical BER results under AWGN channel)

基于互相关函数，采用求和广义互相关函数(summed-GCC)法用于机器人系统平台。由于采用不同的映射函数(mapping functions)，GCC法在该平台下，只需三个麦克风即可进行三维定位，突破了基于TDOA法进行三维声源定位最少需4个麦克风的限制(Based on cross-correlation function, using generalized cross-correlation function sum (summed-GCC) method for the robot system platform. Because of using different mapping function (mapping functions), GCC method in the platform, the only three to three-dimensional microphone positioning, a breakthrough TDOA method based on three-dimensional sound localization will take at least four microphone restrictions)

c语言实现的lwm2m协议，程序是可以直接编译通过的，主程序在src的lwm2mclient.c中(The lwm2m protocol implemented by C language can be compiled and passed directly. The main program is in lwm2mclient.c of src.)

本文分析了多级维纳滤波器的特性，在加性噪声和二维天线阵列如均匀圆阵、均匀面阵、十字阵等条件和背景下，对信源个数和信源参数估计问题进行了研究，提出了基于多级维纳滤波器前向分解特性的快速参数估计方法，同时提出了基于多级维纳滤波器的二维ESPRIT参数估计方法，该类方法无需协方差矩阵的估计运算及分解运算，计算复杂度较低。另外，还提出了对信源个数的估计算法。(This paper analyzes the characteristics of multistage Wiener filter, in the additive noise and the two-dimensional antenna array such as a uniform circular array, the uniform array, cross array conditions and background, the source number and source parameter estimation problem undertook study, put forward based on Multistage Wiener filter prior to the decomposition characteristics of fast parameter estimation method, at the same time based on Multistage Wiener filter 2D ESPRIT parameter estimation method, the method does not need to estimate of covariance matrix calculation and decomposition, relatively low computational complexity. In addition, also put forward for source number estimation algorithm.)

实用性代码，可以在手机等移动设备上很好的使用，可操作性强。(Usefulness of the code can be very good for use on mobile phones and other mobile devices operable.)