CMA_DD-LMS

雷达系统仿真，该程序完成16个脉冲信号的【脉压、动目标显示/动目标检测（MTI/MTD）(Radar system simulation, the process is complete 16 pulse signal, pulse pressure, moving target/moving target detection (MTI/MTD))

MATLAB/simulink 包括混合动力汽车建模、控制和理论分析(Hybrid Energy Management matlab simulink)

说明：  MATLAB GUI上位机，WiFI通信，连接稳定，可同时采集四个通道的数据，互不干扰(Matlab GUI upper computer, WiFi communication, stable connection, can collect data of four channels at the same time, without mutual interference)

说明：  MATLAB编写AODV路由发现过程，实现WSN中AODV的仿真(he simulation of AODV in WSN)

说明：  MIMO系统中能效优化方法仿真，大规模MIMO系统中能效优化方法研究(Simulation of energy efficiency optimization method in MIMO system)

通过伪随机序列进行频率调制，并对相位连续性进行优化。调制信号的自相关函数可以通过谱修正进行旁瓣抑制(Frequency modulation is performed by pseudo-random sequence and phase continuity is optimized. The autocorrelation function of modulation signals can be sidelobe suppressed by spectral correction)

2,1,3卷积码编译码程序, 每行代码有说明,方便阅读(2 1 / 3 convolutional code encoding and decoding procedures, each line of code has instructions, easy to read)

两种非参数估计方法 核估计 局部线性估计(kernel smoothing local constant regression )

说明：  产生正弦信号时域波形及频谱，并通过希尔伯特滤波器。其中希尔伯特滤波器有两种产生方式，一是使用MATLAB自带的FDAtool；二是程序编写。(The time-domain waveform and spectrum of sinusoidal signal are generated and passed through Hilbert filter. There are two ways to generate Hilbert filter, one is to use FDAtool in MATLAB, the other is to write programs.)

说明：  求解双层规划问题常用的算法有极点算法、直接搜索法、下降法和非数值优化方法(如模拟退火算法、遗传算法等)，遗传算法的求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解。(Solving Bilevel Programming Problems with pole algorithm commonly used algorithms, direct search method, descent and non-numerical optimization methods (such as simulated annealing, genetic algorithms, etc.), genetic algorithm for solving approaches: the first on the top of the decision variable coding, on behalf of the were lower programming model, by solving the lower model of decision variables values into the upper model on behalf of the fitness value, and then crossover and mutation, select Options, and finally get the best solution.)