Channel_Coding_in_Communication_Networks

无线通信中继协作功率控制相关代码Wireless communication relay cooperative power control related code(Wireless communication relay cooperative power control related code)

说明：  说明：此为球形开关测试程序的上位机软件。 能够记录由下位机上传的每支球形开关 的通断情况，自动记录上传的时间， 并且会将历次的结果保存在PC机的硬盘 中，带有具体的日期，方便查询。(Note : This spherical switch to the testing procedures PC software. To record the next crew uploaded each spherical switch-off, automatically records upload time, and will keep all the previous results of the PC's hard disk, with the specific date, and easily accessible.)

HDLC控制协议中CRC校验码算法代码，为CRC16，Verilog语言(HDLC Control Protocol Code in the CRC checksum algorithm code for CRC16, Verilog language)

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

Digital Communication Solutions Vol 4

4种最小二乘恒模算法，可改变参数，观看bpsk，qpsk，16qam误差曲线图(Four kinds of least-squares constant modulus algorithm, can change the parameters, see bpsk, qpsk, 16qam error curve)

non coherent fsk modulator and decoder using convolutional codes and BICM

说明：  载波相位平滑伪距，针对伪距的异常情况，利用载波相位进行平滑处理(Carrier phase smoothing pseudo-distance)

ofdm最大似然估计 加入循环前缀 进行信道估计同步算法(ofdm Maximum Likelihood Estimation of cyclic prefix for channel estimation synchronization algorithm)

说明：  自适应滤波器作为一种现代滤波器，在通信领域有着广泛的应用. 阐述了LMS以及RLS自适应滤波器的相关原理及其在通信系统去噪中的应用，并用MATLAB对自适应滤波器的去噪结果进行了相应的仿真，仿真结果直观地体现了自适应滤波器的去噪性能。 本文对自适应滤波器系统进行剖析，基于QPSK调制后的信号，并对该信号加工成为不同信噪比如SNR=0Db、SNR=5dB、SNR=10dB的信号，进行了两种分别基于LMS自适应滤波和RLS自适应滤波的操作。并对添加了有色高频噪声等加噪处理来模拟通信过程中的实际应用环境，测试所设计的低通滤波器对于噪声信号的滤波性能，并对结果进行分析总结。(As a modern filter, adaptive filter has a wide range of applications in the field of communication. This paper expounds the relevant principles of LMS and RLS adaptive filter and their applications in the de-noising of communication system, and simulates the de-noising results of adaptive filter with MATLAB. The simulation results directly reflect the de-noising performance of adaptive filter. In this paper, the adaptive filter system is analyzed, based on the QPSK modulated signal, and the signal is processed into different signal-to-noise, such as SNR = 0dB, SNR = 5dB, SNR = 10dB signal. Two kinds of operation are carried out based on LMS adaptive filtering and RLS adaptive filtering respectively. In order to simulate the practical application environment in the communication process, we add colored high-frequency noise to test the filtering performance of the designed low-pass filter for noise signal, and analyze and summarize the results.)