zhuyiminqam64

说明：  基于深度学习的OFDM多载波系统信道估计(Channel estimation for OFDM multi carrier system based on deep learning)

说明：  载波同步仿真，使用的是反馈补偿法，接收信号经补偿矩阵，误差提取，环路滤波，相位累加器后反馈回补偿矩阵，稳定后估计相位趋近相位差，存在相位模糊情况。(the simulation of the carrier synchronization)

VS2010串口例程，VC2010写的串口调试助手,开发环境为VS2010,使用的uncioud环境,纯API,不错的C++串行通讯例子程序，希望能对串口学习的朋友有所帮助 (VS2010 serial routines, VC2010 write serial debugging assistant development environment VS2010, using uncioud environment, pure API, a good example of C++ serial communication program, hoping to help a friend learn the serial port)

基于周立功USBCAN模块通信的上位机应用软件(CANTest communication module)

说明：  基于传统信道估计LS，MMSE，和不同多普勒频移下的误码率等(Based on the traditional channel estimation ls, MMSE, and different Doppler frequency shift bit error rate)

lbc_example：未编码的BPSK调制的性能（理论计算与仿真）、重复码硬判决的性能 lbc_example_SD： 未编码的BPSK调制的性能（理论计算）、重复码硬判决的性能、重复码软判决的性能 lbc_example_SD_EbNo：lbc_example_SD中的性能，并且进一步考虑了码率不同时，对于信道的SNR值进行归一化，以Eb/No = SNR/(2*R)为横坐标时的比较结果 lbc_example_Hamming_EbNo：汉明码，硬判决译码的性能(Lbc_example: Performance of uncoded BPSK modulation (theoretical calculation and simulation), performance of duplicate code hard decision Lbc_example_SD: Performance of uncoded BPSK modulation (theoretical calculation), performance of hard decision of duplicate code, performance of soft decision of duplicate code The performance of lbc_example_SD_EbNo: lbc_example_SD is considered, and the SNR value of channel is normalized when the bit rate is different. The comparison results are obtained when Eb/No = SNR/(2*R) is the abscissa coordinate. Lbc_example_Hamming_EbNo: Hamming Code, Performance of Hard Decision Decoding)

通过具体的信道实例对比几种信道容量，绘出对数正态衰落、瑞利衰落、Nakagami衰落下确定的容量随平均接收信噪比变化的曲线。(The capacity of several channels is compared by a specific channel example, and the curve determined by the logarithmic normal fading, Rayleigh fading and Nakagami fading with the change of the average received signal to noise ratio (SNR) is drawn.)

It is mainly used for ARQ simulation ,such as stop-and-wait

有关卷积编码的维特比算法,是硬判决的啊,希望大家(The Viterbi algorithm about convolutional coding, it is hard to judge, I hope you all)

TDMA simulation using OPNET modeler