mod31

Sensoer code is realted to loacalization that is written in matlab programming..

本程序基于一阶AR模型，u(n)=-0.99u(n-1)+v(n)的线性预测。白噪声v(n)方差0.995.FIR滤波器的抽头数为2.遗忘因子0.98.用RLS算法实现u(n)的线性预测。并附有仿真图片。。(This procedure is based on a first-order AR model, u (n) =-0.99u (n-1)+v (n) of the linear prediction. White noise v (n) the number of taps of the the variance 0.995.FIR filter 2. Forgetting factor 0.98. U (n) of the linear prediction using the RLS algorithm. With simulation Pictures. .)

说明：  power storage battery

自己编写的全主元高斯消去法解线性方程组的matlab函数。特点：运行稳定，适合于工程计算；结构清楚，注释详尽，非常适合于初学者。(their preparation of all PCA Gaussian elimination method for solving linear equations of Matlab function. Features : stable operation, which is suitable for engineering calculations; Structure clear, detailed notes, which is very suitable for beginners.)

基于Logstic回归分析，建立人口预测模型，对人口数量进行预测(Based Logstic regression analysis, population forecasting model to predict population)

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)

基于matlab编译的一个二阶相应面法拟合程序。代码简易，尚未检查其收敛性。(Using matalb. Write a simple quadratic surface fitting code, corresponding program is simple, has yet to test whether convergence.)

该程序用盖氏圆盘方法（GDE）计算均匀直线阵（ULA）中信号源个数估计性能随SNR的变化情况,采用Monte-Carlo模拟。 (estimate the number of source using GDE criterion)

说明：  K-均值聚类，比较好的聚类方法，应用广泛(K-means clustering, a better clustering method, widely used)

两种LFM脉冲压缩技术，第一种技术广泛用于窄带和中等宽带的雷达工作(The two LFM pulse compression technology, a technology widely used in narrowband and medium-wideband radar)