RadarToolBox

varios demos para sistema de optimización de antenas

稳态kalman滤波算法仿真通式 本程序考虑线性离散时不变随机系统。系统模型为x(t+1)=fai*x(t)+gama*w(t) y(t)=H(t)*x(t)+v(t)。有6个参数：状态转移阵fai，输入噪声系数gama，观测阵H，输入 噪声方差Q，观测噪声方差R，观测y( Steady-state kalman filtering algorithm simulation program to consider the general form linear discrete time-invariant stochastic system. System model x (t+1) = fai* x (t)+ gama* w (t) y (t) = H (t)* x (t)+ v (t). There are six parameters: state transition matrix fai, input noise figure gama, observation matrix H, enter noise variance Q, observation noise variance R, observation y)

code source of generalized predictive control

Sample Important Resampling Particle Filter(SIR Particle Filter)

MATLAB Example Code : This code shows the funtionality of an accelaratometer.

BER performance of RCPC codes over Reilaygh fading

基于负熵最大的ICA 算法在matlab运行的代码(Based on negative entropy maximum ICA algorithm in matlab code that runs)

To support wireless communication : MIMO

此程序适合平行二元阵天线，三维的，方向图乘积定理。(This procedure is suitable parallel binary array antenna, three-dimensional, the direction of graph product theorem.)

产生线性调频信号以及均匀脉冲截断的线性调频信号，并分别生成频谱(It generates the lfmcw signal and the lfmcw signal modulated by the uniform pulse sequence, and it also generates the frequency attribution of the two signals.)