UTC2GPS

利用内点法，以5节点标准系统为例，求解最优潮流(Solving the optimal power flow)

c#开发，用于接收远程gprs模块发送来的数据，安装于服务器端，可用于gps数据是采集。(c# development, for receiving the data sent to remote gprs module, installed on the server side)

GNSS与惯性及多传感器组合导航系统原理 配套matlab程序(the source code for "Principles of GNSS, Inertial, and Multi-Sensor Integrated Navigation Systems")

GPS网平差计算核心代码，Trimble(GPS network adjustment calculation core code, Trimble)

利用MATLAB编码实现BCH信道编译码功能。(The BCH channel coding function is realized by MATLAB coding.)

详细完整的LDPC编译码MATLAB代码！(Detailed and complete LDPC code MATLAB code!)

文档中介绍首先介绍了多用户MIMO模型，以及LTE中的多用户MIMO方案，通过仿真分析总结出当用户数较少时，在高信噪比条件下，ZF方案的系统吞吐量性能明显优于PU2RC方案。(Document describes first introduced a model of a multi-user MIMO, and LTE multi-user MIMO scheme, by simulation analysis summed up when the number of users is small, at high SNR conditions, the system throughput performance of the ZF program superior PU2RC program.)

第一次作业_基于分类算法的雷达状态识别 对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)

本文详细的介绍了GPS-INS紧组合的相关内容，包括状态方程和量测方程的建立。对正在学习这方面的朋友很有帮助。(In this paper a detailed description of GPS-INS tight combination of content, including the establishment of the state equation and measurement equation. Helpful friends are learning in this area.)

说明：  基于ofdm的信道估计算法LS算法，与没有信道估计的情况作了对比。(Ofdm-based channel estimation algorithm LS algorithm, compared with no channel estimation.)