CS_OMP

AWGN信道中，如何用代码实现DCSK调制方法以及系统的误码性能的分析情况(AWGN channel, DCSK system error performance)

瑞利衰落信道，是一种无线电信号传播环境的统计模型。这种模型假设信号通过无线信道之后，其信号幅度是随机的，即“衰落”，并且其包络服从瑞利分布。这一信道模型能够描述由电离层和对流层反射的短波信道，以及建筑物密集的城市环境。(Rayleigh fading channels, the statistical model of a radio signal propagation environment. This model assumes that after the signal through the radio channel, the signal amplitude is random, ie, the " fading" and the envelope of the Rayleigh distribution. This channel model is able to describe the HF channel reflected by the ionosphere and troposphere, as well as building a dense urban environment.)

最大比合并（MRC）的分集合并程序；调制方式BPSK;瑞利信道(The diversity merging program of the maximum ratio combination (MRC); modulation mode BPSK; Rayleigh channel)

QAM高阶调制 恒模盲均衡算法 CMA Equalization Algorithm(QAM CMA Equalization Algorithm)

BCH编码的matlab程序，实现BCH（1023，1013）(BCH coding matlab program to achieve the BCH (1023,1013))

永磁同步电机的位置控制，使用光电编码器位置传感器(Sensored Position Control of PMSM Using QEP)

基于互相关函数的时延估计，用于声源定位算法。(Time-Delay,Crosscorrelation)

本文在传统分布式功率控制算法的基础上，考虑到代价函数的非负性，且存在一个正的最小值的特性，采用用户发射功率和信干比来定义用户的代价函数，引用了一种基于代价函数的功率控制算法。最后，本文利用MATLAB工具对该算法进行了仿真分析，验证了算法的有效性(Based on the traditional distributed power control algorithm based on, taking into account the non-negative Daijia function, and there is a positive minimum of features, with user transmit power and signal to interference ratio to define the user cost function, based on a reference cost function of the power control algorithm. Finally, the algorithm using MATLAB simulation tools for analysis and verification of the validity of the algorithm)

说明：  对信道进行LS信道估计，并使用Decision-Directed的方式进行降噪。(Channel Estimation Decision Directed)

全数字解调下16QAM信号的频偏估计的TD-GG算法实现。TD-GG算法是在TD和GG算法基础上提出来的，有较大的频偏估计范围和较好的估计精度，很好的解决了传统的非数据辅助频偏估计算法中估计范围和精度不能兼顾的问题，而且这种算法易于实现。(Digital demodulation under the 16QAM signal frequency estimation TD-GG algorithm. TD-GG algorithm is based on the TD and the GG algorithm is proposed, and have greater range and better frequency estimation of estimation accuracy, a good solution to the traditional non-data aided frequency offset estimation algorithm to estimate the range and accuracy not take into account the issue, and this algorithm is easy to achieve.)