Navigation-message-data-collection

本文在分析移动无线信道衰落特性的基础上,阐述了OFDM系统的基本原理,主要研究了OFDM通信系统中的基于导频符号的信道估计问题,分析了几种经典的信道估计算法以及相关的关键技术环节。 在此基础上介绍了OFDM技术在现实中的一个应用——WLAN IEEE802.11a系统模型,利用Matlab仿真软件完成OFDM系统信号生成、噪声生成、导频插入、循环前缀、调制、解调等部分的设计,最后结合计算机仿真对系统关键技术(导频、循环前缀、估计算法)的有效性和可行性进行了全面的分析与比较。适合matlab研究(Based on the analysis of mobile channel fading characteristics based on the OFDM system on the basic principles of research in the OFDM communication system of the pilot symbols based on channel estimation problem, an analysis of several classical channel estimation algorithm and the associated key technical links. On this basis, introduced OFDM technology in a practical application- WLAN IEEE802.11a system model, using Matlab simulation software to complete OFDM signal generation, noise generation, pilot insertion, cyclic prefix, modulation, demodulation and other parts of the design, the final combination of computer simulation of the system of key technologies (pilots, cyclic prefix, it is estimated that algorithm) the effectiveness and feasibility of a comprehensive analysis and comparison. Suitable for research matlab)

说明：  老外的MIMO程序，实现不同收发天线数，不同调制方式下的误比特率测量，运行ui-start(foreigners MIMO procedures to achieve different transceiver antenna several different modulation under the bit error rate measurements, run ui- start)

使用BP算法实现压缩感知信号重构,需要已知观测空间基矩阵和观测向量(BP_Simplex,BP with a Simplex mplementation)

一个KLMAN滤波的matlab程序,仿真了车辆行驶的跟踪过程(A KLMAN filter matlab program, the simulation process of tracking a moving vehicle)

根据正弦波叠加法产生莱丝信道，其中参数设置仅供参考(Gaussian power spectrum)

matlab 2014a 破解文件，亲测可用。软件太大了，可在官网自行下载。(Matlab 2014 a crack file, close test available. The software is too big, can be in official website to download. )

利用MATLAB的SIMULINK仿真的串级控制系统仿真源码(The SIMULINK simulation using MATLAB cascade control system simulation source)

matlab中值滤波，数字图像处理源代码(median filter matlab, digital image processing source code)

Draw Nakagama distribution

说明：  里米兹算法的MATLAB源程序，其中交错点组的筛选运用了牛顿迭代法(Meads algorithm in MATLAB source code, which staggered the screening point group used the Newton iteration)