▍1. CoOFD_callOptiSystem
OPTICAL COMMUNICATIONS MATLAB calls OptiSystem CO-OFDM.
OPTICAL COMMUNICATIONS MATLAB calls OptiSystem CO-OFDM.
The following file contains three types of digital communications sampling. Contains ideal sampling, natural sampling and ZOH sampling, operate only for one single frequency signal, can be modified to add multiple signals with a base frequency. Greetings, I hope it helps.
adaptive modulation and coding
artificial transportation system and internet of vehicles, internet of things, vanet, intelligent transportation.
intelligent transportation system and internet of vehicles
说明: artificial transportation system and internet of vehicles, internet of things, vanet, intelligent transportation.
说明: intelligent transportation system and internet of vehicles
对当前通信信号中常用的数字调相信号BPSK、QPSK、1/4一QPSK、8PSK的调制识别问题,提出了一种基于信号差分高阶累积量的识剐算法。该算法分两个层次进行调制识别,首先利用信号的四阶累积量特征对BPSK、QPSK和{1/4一QPSK、8PSK}信号进行识别,然后再利用信号差分的四阶和八阶累积量特征对1/4-QPSK、8PSK信号进行识别。从理论上分析了的该算法的有效性,并通过计算机仿真验证了算法具有良好的性能。(A recognition algorithm based on differential high-order cumulant is proposed for the modulation recognition problems of BPSK, QPSK, 1/4-QPSK and 8PSK, which are commonly used in current communication signals. The algorithm is divided into two levels for modulation recognition. Firstly, BPSK, QPSK and {1/4-QPSK, 8PSK} signals are identified by using the fourth-order cumulant characteristics of signals, and then 1/4-QPSK and 8PSK signals are identified by using the fourth-order cumulant and eighth-order cumulant characteristics of signal difference. The validity of the algorithm is analyzed theoretically, and the good performance of the algorithm is verified by computer simulation.)
说明: 对当前通信信号中常用的数字调相信号BPSK、QPSK、1/4一QPSK、8PSK的调制识别问题,提出了一种基于信号差分高阶累积量的识剐算法。该算法分两个层次进行调制识别,首先利用信号的四阶累积量特征对BPSK、QPSK和{1/4一QPSK、8PSK}信号进行识别,然后再利用信号差分的四阶和八阶累积量特征对1/4-QPSK、8PSK信号进行识别。从理论上分析了的该算法的有效性,并通过计算机仿真验证了算法具有良好的性能。(A recognition algorithm based on differential high-order cumulant is proposed for the modulation recognition problems of BPSK, QPSK, 1/4-QPSK and 8PSK, which are commonly used in current communication signals. The algorithm is divided into two levels for modulation recognition. Firstly, BPSK, QPSK and {1/4-QPSK, 8PSK} signals are identified by using the fourth-order cumulant characteristics of signals, and then 1/4-QPSK and 8PSK signals are identified by using the fourth-order cumulant and eighth-order cumulant characteristics of signal difference. The validity of the algorithm is analyzed theoretically, and the good performance of the algorithm is verified by computer simulation.)
针对数字卫星常用的 7 种通信信号调制方式(QPSK、8PSK、16QAM、32QAM、64QAM、16APSK、32APSK),对零中心归一化瞬时幅度谱密度最大值、四次方谱、幅度、高阶累积量四种特征参数进行了分析,提出了一种联合特征参数的信号调制识别方法.(Aiming at seven communication signal modulation modes commonly used in digital satellite (QPSK, 8PSK, 16QAM, 32QAM, 64QAM, 16APSK and 32APSK), four characteristic parameters of zero-center normalized instantaneous amplitude spectral density, quadratic spectrum, amplitude and high-order cumulant are analyzed, and a signal modulation recognition method of joint characteristic parameters is proposed. Method.)
说明: 针对数字卫星常用的 7 种通信信号调制方式(QPSK、8PSK、16QAM、32QAM、64QAM、16APSK、32APSK),对零中心归一化瞬时幅度谱密度最大值、四次方谱、幅度、高阶累积量四种特征参数进行了分析,提出了一种联合特征参数的信号调制识别方法.(Aiming at seven communication signal modulation modes commonly used in digital satellite (QPSK, 8PSK, 16QAM, 32QAM, 64QAM, 16APSK and 32APSK), four characteristic parameters of zero-center normalized instantaneous amplitude spectral density, quadratic spectrum, amplitude and high-order cumulant are analyzed, and a signal modulation recognition method of joint characteristic parameters is proposed. Method.)
说明: 分数阶傅里叶法对LFM信号进行检测和参数估计的参考文献,可以参考原理。(The reference of fractional Fourier method for LFM signal detection and parameter estimation can refer to the principle.)
说明: 维纳滤波 自适应滤波 随机生成模拟信号与数字信号,加入高斯白噪声之后进行滤波(Implementation of Wiener filter and adaptive filter)
说明: 与量子博弈相关演化博弈相关,其中也有复制动态方程的内容(Ternary phase diagram correlation)
MIMO信道容量分析,分析不同信噪比情况下信道容量的变化及收发天线数的变化对信道容量的影响。(Ergodic Capacity of MIMO system)
注水算法,经典注水算法在MIMO自适应资源分配中功率分配的最优算法(water filling algorithm)
使用Matlab计算信源熵,利用信息论与编码所学知识完成实验(Using Matlab to compute source entropy)