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SimuClutter
- 高频地波雷达的双排线形接受天线阵的海杂波模拟，程序中添加了点目标-high-frequency radar to accept the dual linear array of sea clutter simulation, the process of adding points target
Cost_2011
- 画图瑞利背景下CA CFAR检测性能比较的Matlab程序 -plot a figure speed platform where both the target and the clutter have range walk. In this method, for efficient clutter suppression the clutter’s range walk
JPDAF
- 进行蒙特卡罗仿真，采用Jpadf对两个有杂波的目标进行跟踪。仿真结果表明，跟踪效果很好，基本与真实真是轨迹重叠-Monte-Carlo simulation carried out using two Jpadf clutter on the target track. The simulation results show that good tracking results, the basic trajectory is overlapping with the real
www
- 使用维纳分布进行瞬时频率估计用来校正电离层非线性相位污染带来的频带展宽-High-frequency (HF) sky-wave radar signals propagate to and from the target by means of the ionosphere. The difficulty in obtaining very narrow beamwidths at HF, and the long ranges involved, mean that the
particle_filter
- 粒子滤波例程，用于无杂波环境下的目标跟踪。-Particle filter routines for non-target tracking in clutter.
JPDA
- 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)
ction
- 海杂波下距离扩展目标的最优二进制检测Expansion of sea clutter from the target under optimal binary detection-Expansion of sea clutter from the target under optimal binary detection
weibull_CA
- 采用CA-CFAR的方法，对weibull杂波下的目标进行检测，包含杂波产生程序-CA-CFAR, weibull clutter, target detection, including noise generation process
CFAR_even
- 从雷达目标接收的信号通常埋在 热噪声和杂波。正如杂波加噪声电源 不知道先验，固定的阈值检测方案不能 假警报才会应用于雷达回报 控制。-The signal received from a radar target is usually buried in thermal noise and clutter. As the clutter-plus-noise power is not known a priori, a fixe
CA-CFAR
- 单元平均恒虚警检测——CA-CFAR检测器：包括对于无目标、仅有噪声的信号进行CA-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的CA算法仿真。一些程序主要是为了绘图，画出CA-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算CA-CFAR检测过程中的检测概率和虚警概率。-CA-CFAR detectors: simulations of detection to signals with no target but noise only, as well as
GO-CFAR
- 最大选择恒虚警检测——GO-CFAR检测器：包括对于无目标、仅有噪声的信号进行GO-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的GO算法仿真。一些程序主要是为了绘图，画出GO-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算GO-CFAR检测过程中的检测概率和虚警概率。-GO-CFAR detectors: simulations of detection to signals with no target but noise only, as well as
SO-CFAR
- 最小选择恒虚警检测——SO-CFAR检测器：包括对于无目标、仅有噪声的信号进行SO-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的CA算法仿真。一些程序主要是为了绘图，画出SO-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算SO-CFAR检测过程中的检测概率和虚警概率。-SO-CFAR detectors: simulations of detection to signals with no target but noise only, as well as
OS-CFAR
- 有序统计量恒虚警检测——OS-CFAR检测器：包括对于无目标、仅有噪声的信号进行OS-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的OS算法仿真。一些程序主要是为了绘图，画出OS-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算OS-CFAR检测过程中的检测概率和虚警概率。-OS-CFAR detectors: simulations of detection to signals with no target but noise only, as well as
KB-CFAR
- 基于知识的恒虚警检测——KB-CFAR检测器：包括对于无目标、仅有噪声的信号进行KB-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的KB算法仿真。一些程序主要是为了绘图，画出KB-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算KB-CFAR检测过程中的检测概率和虚警概率。-KB-CFAR detectors: simulations of detection to signals with no target but noise only, as well as
hazaboduixiao_fangzh
- 雷达目标检测方法之一的海杂波对消法的仿真例子-Radar target detection in sea clutter simulation example for Consumer Law
GM_PHD_Filter_v110
- GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - erro
MATLAB-Code
- 仿真是现代雷达系统设计成功的基础，从这一点来说，没有任何软件比MATLAB更好。本代码提供雷达系统仿真常用MATLAB程序，内容包括：雷达基础导论、雷达检测、雷达波形、雷达模糊函数、脉冲压缩、面杂波与体杂波、动目标显示和杂波抑制、相控阵、目标跟踪、电子对抗、雷达截面积、高分辨率战术合成孔径雷达、信号处理等，提供MATAB文件和雷达系统设计与分析所需要的实际仿真经验-Simulation is a modern radar system design basis for success, from
nonlinmember
- 本代码是关于多伯努利多目标跟踪方面的代码，解决了在杂波环境下的目标跟踪问题，应用于非线性模型下的目标跟踪。-The code is on multi-bonuli multi-target tracking code, solve the problem of target tracking in clutter environment, the target tracking applied to nonlinear model.
ukf-kf
- 在单目标无杂波环境下，针对二维雷达量测的目标跟踪算法的实例分析。包含了UKF与KF。(An example of a target tracking algorithm for two-dimensional radar measurement in a single target without clutter environment is presented. It contains UKF and KF.)
GM-PHD1
- Over-the-horizon radar (OTHR) exploits skywave propagation of high-frequency signals to detect and track targets, which are different from the conventional radar. It has received wide attention because of its wide area surveillance, long detectio