zhihuanpwm

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 trajectory.m产生理论的航迹，并绘出 Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计 filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线(target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve)

增广最小二乘递推算法辨识程序，实用的系统辨识算法。(Augmented RLS identification procedures, practical system identification algorithm.)

利用追赶法求解三对角线性方程组，matlab程序代码(chasing method)

可实现对二维数据的聚类，关于超声波倒车雷达测距的，多姿态，多角度，有不同光照。( Can realize the two-dimensional data clustering, About ultrasonic parking radar ranging, Much posture, multi-angle, have different light.)

说明：  利用EM算法对非线性状态空间模型参数估计，效果良好(The EM algorithm is used to estimate the parameters of the non-linear state space model with good results.)

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水下无人航行器（AUV）simulink仿真工具箱,安装后即可用里面给出的各种AUV模型进行仿真，是挪威科技大学的学生做的，很不错。(Unmanned underwater vehicle (AUV) simulink simulation toolbox, which can be used after installation of various AUV model given simulation, the Norwegian University of Technology, students do very well.)

该程序是用matlab语言实现的对瑞利信道的描述，读者可以一试(The program is described by Rayleigh channel matlab language, readers can try)

用matlabe产生随机序列,用matlabe产生随机序列(matlab prbs,matlab prbs,matlab prbs)

说明：  这是一个对比仿真实验： 基于复信号构造系统，生成IQ数据，进行QAM复调制，然后进行复解调，给出调制前后的频谱： 之后在用传统的载波调制的方式重新在做一遍，给出调制前后的频谱(This is a comparative simulation experiment: Based on complex signal construction system, IQ data is generated, QAM complex modulation is carried out, then complex demodulation is carried out, give the spectrum before and after modulation After that, the traditional carrier modulation method is used to do it again, give the spectrum before and after modulation)