粒子滤波程序，仿真实现自由度机器人对目标的跟踪，使用kalman滤波估计总雅可比矩阵J，噪声为非高斯噪声-Particle filter procedure, simulation robot tracking of targets, the use of kalman filter estimated total Jacobian matrix J, the noise of non-Gaussian noise

粒子滤波的重要性是不言而喻的。它不仅能处理高斯线性的还能处理非高斯非线性的。本程序是另一个版本的matlab代码的第二部分。-The importantce of particle filter is obvious. It can process not only linear gaussian system but also nonliear system. This is another version matlab source of particle filter and is the

集合卡尔曼粒子滤波算法matlab代码，能处理非高斯、非线性、多维状态的情况-Ensemble Kalman partilce filter algorithm using matlab code, can handle non-Gaussian, nonlinear, multidimensional state