application_of_gatbx

统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法， 但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这 一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自 多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和 仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附 加的计算量小等优点。(Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with low calculation load added and higher precision 。)

source code for MLE estimation .m file

matlab中细化谱的示例程序，操作简单，可直接复制，便于调用。(Zoom Spectrum in matlab sample program, simple operation, can be directly copied, easy call.)

一个matlab绘图课件，比较详尽，希望对用matlab绘图的同学有帮助！(A matlab graphics courseware, more detailed, and they hope to use matlab graphics help students!)

系统辨识与自适应控制MATLAB仿真教材里递推梯度校正估计算法的参数估计的matlab实现的程序(System identification and adaptive control of MATLAB simulation in the textbook recursive gradient correction estimation algorithm to estimate the parameters of the matlab program)

说明：  matlab的信号处理工具箱；内含高阶谱函数，如双谱等，使用很方便(matlab toolbox,hosa,Higher-Order Spectral Analysis Toolbox)

利用S函数生成空间矢量SVPWM，可用于异步电机、同步电机的Matlab控制仿真的逆变模块(The S function to generate space vector SVPWM, can be used for asynchronous motors, synchronous motor control simulation Matlab inverter module)

本代码在matlab环境下运行，从而出现日历和时间。(Calendar and time display)

递推极大似然估计法参数辨识的MATLAB源码(Recursive maximum likelihood estimation MATLAB source parameter identification)

说明：  能够清晰的分析线性调频信号的频谱特性，能够很好的帮助理解lfm信号(Can clear analysis of linear FM signal spectrum characteristics, can be very helpful in understanding LFM signal)