| 高斯粒子滤波检测前跟踪方法 |
| |
| 引用本文： | 樊 玲. 高斯粒子滤波检测前跟踪方法[J]. 计算机工程与应用, 2011, 47(23): 121-123 |
| |
| 作者姓名： | 樊 玲 |
| |
| 作者单位： | 1.乐山师范学院 物理与电子工程学院，四川 乐山 614004 2.电子科技大学 电子工程学院，成都 611731 |
| |
| 基金项目： | 四川省教育厅资助科研项目(No.07ZB140);乐山师范学院科研项目(No.Z0820) |
| |
| 摘 要： | 针对低信噪比条件下微弱目标的检测和跟踪，提出了一种高斯粒子滤波检测前跟踪（TBD）方法。该方法采用高斯粒子滤波递归地估计目标的状态，结合固定样本长度（FSS）似然比检验实现了对微弱目标的检测和跟踪。由于避免了粒子滤波TBD方法中的重采样过程，高斯粒子滤波TBD方法没有采样枯竭现象，算法复杂度小。仿真实验表明，该算法对微弱目标具有良好的实时检测和跟踪性能。
|
| 关 键 词： | 检测前跟踪 高斯粒子滤波 微弱目标 固定样本长度 |
| 修稿时间： | |
Gaussian particle filter-based track-before-detect method |
| |
| FAN Ling. Gaussian particle filter-based track-before-detect method[J]. Computer Engineering and Applications, 2011, 47(23): 121-123 |
| |
| Authors: | FAN Ling |
| |
| Affiliation: | 1.School of Physics and Electronic Engineering，Leshan Normal University，Leshan，Sichuan 614004，China 2.School of Electronic Engineering，University of Electronics Science and Technology of China，Chengdu 611731，China |
| |
| Abstract: | Aiming at detection and tracking of weak targets under low Signal-to-Noise Ratio（SNR）situations,a Gaussian Particle Filter（GPF）-based Track-Before-Detec（tTBD） method is proposed in this paper.The states of the target are estimated recursively by the proposed method,and the detection of the target is performed by a Fixed Sample Size（FSS） Likelihood Ratio Tes（tLRT）.Due to the resampling which is in the particle filter TBD method is not required in the GPF TBD,thus the proposed method avoids the the sample impoverishment and has a low computational complexity.Simulation results show that the proposed method has favorable performance of detection and tracking for weak targets. |
| |
| Keywords: | Track-Before-Detec（tTBD） Gaussian particle filter weak targets Fixed Sample Size（FSS） |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载免费的PDF全文 |
