ciod

基于扩展卡尔曼滤波的多通道带乘性噪声系统状态的仿真程序，对初学者可能会有很大帮助(Simulation program for multi-channel with multiplicative noise of the system state)

说明：  拉格朗日插值卫星精密星历（包含主函数及非滑动式及滑动式插值脚本，脚本请按实际情况进行修改后使用）(Lagrange interpolation satellite precise ephemeris(including main function and non sliding and sliding interpolation scripts. Please modify the script according to the actual situation ))

说明：  乘积的最后三位的值只与乘数和被乘数的后三位有关，与乘数和被乘数的高位无关，利用此来求尾数(The last three values of the product only with the multiplier and the multiplicand on the back three, with a high multiplier and the multiplicand has nothing to do, take advantage of this to seek mantissa)

自适应凹口滤波干扰对消，单一频率的方法的实现。很有效果(Adaptive notch filter interference cancellation, single frequency)

包括主成分分析、因子分析、贝叶斯分析，数据模型归一化，模态振动，对信号进行频谱分析及滤波，调试通过可以使用，matlab程序运行时导入数据文件作为输入参数，IMC-PID是利用内模控制原理来对PID参数进行计算。(Including principal component analysis, factor analysis, Bayesian analysis, Normalized data model, modal vibration, The signal spectral analysis and filtering, Debugging can be used, Import data files as input parameters matlab program is running, The IMC- PID is using the internal model control principle for PID parameters is calculated.)

complex signal generator

实现CDMA系统的RAKE接收,比较最大比合并、等增益合并、、选择合并接收算法的性能，采用3条多径，每条多径之间延迟半个码片，信源输入采用16位WALSH码扩频(Realize RAKE receiver CDMA system to compare maximal-ratio combining, and so gain the merger, and select to receive the combined algorithm, using more than three tracks, each multi-path delay between the half-chip, input source code using 16 WALSH Spread Spectrum)

matlab资料大全，本人多年积累。内含有18513MC混合编程源代码！(matlab Sourcebook, I accumulated over the years. Contains 18513MC hybrid programming source code!)

本资料仅供MATLAB 学习者及相关技术人员研究参考使用(This information is for MATLAB and related technical staff of the learner reference)

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 。)