| 摘要: |
| 针对在有高斯量测噪声情况下目标机动检测问题，提出了一种基于残差三阶累积量的
机动检测算法，通过利用Kalman滤波实时产生残差数据而进行的三阶累积量的计算，抑制了
高斯噪声对目标机动的影响，且实现了机动检测的实时性。仿真实验结果验证了该算法的有
效性和稳健性。 |
| 关键词: 多目标跟踪 机动检测 残差 三阶累积量 卡尔曼滤波 |
| DOI： |
|
| 基金项目:国家自然科学基金资助项目(60736046) |
|
| A novel maneuver detection method based on residual third-order cumulants |
| LAN Yao,LV Ze-jun,JIANG Wei |
| () |
| Abstract: |
| For the detection of target maneuver in additive Gaussian noise,
a maneuver detection algorithm based on residual third-order cumulants is propo
sed, which can suppress the effect of Gaussian noise on the target maneuver by a
dopting the third-order cumulants computation based on the employment of the re
al-time residual data obtained from the Kalman filter, and realizes the real-tim
e maneuver detection
at the same time. Simulation result shows the feasibility and effectiveness of
this algorithm. |
| Key words: multi-target tracking maneuver detection residual third-order culmulants Kalman filter |
