期刊文献+

改进的当前统计模型及自适应跟踪算法 被引量:13

A Modified Adaptive Tracking Algorithm Based on Current Statistic Model
下载PDF
导出
摘要 对于机动目标跟踪问题,在当前统计(CS)模型的基础上,提出了一种新的机动目标自适应跟踪算法。通过引入强跟踪滤波器(STF)的渐消因子,增强了模型对目标突发机动的自适应跟踪能力,同时针对模型对目标加速度极限值的依赖性这一缺点,引入一种利用位置估计值与加速度的函数关系自适应调整加速度方差的方法,提高了对弱机动和非机动目标的跟踪能力。仿真结果表明,该算法与标准的当前统计模型滤波算法相比具有较高的跟踪精度。 Based on the current statistical(CS) model, a new adaptive maneuvering target tracking algorithm is presented. By introducing a fading factor of Strong Tracking Fiher(STF), this algorithm improves the adaptive tracking performance greatly when there is a sudden maneuver. Being dead against the disadvantage of the model depending on the target acceleration limit value, a method using the relation of location estimation and acceleration is presented, which can adjust acceleration variance adaptively. The method improves the tracking performance when there is a thin maneuver or no maneuver. Simulation results indicate that this improved algorithm has better performance in target tracking than normal current statistical model.
出处 《雷达科学与技术》 2008年第3期202-205,214,共5页 Radar Science and Technology
关键词 机动目标跟踪 当前统计模型 强跟踪滤波器 自适应滤波 maneuvering target tracking current statistical model strong tracking filter adaptive filtering
  • 引文网络
  • 相关文献

参考文献5

二级参考文献21

  • 1严卫生,高磊,张礴,段培贤.水下目标跟踪技术[J].火力与指挥控制,2000,25(2):2-7. 被引量:8
  • 2敬忠良,张国伟,周宏仁.随机神经网络在机动多目标跟踪中的应用[J].航空学报,1994,15(7):812-818. 被引量:11
  • 3敬忠良,徐宏,周雪琴,戴冠中.基于神经网络的机动目标信息融合与并行自适应跟踪[J].航空学报,1995,16(6):715-719. 被引量:18
  • 4Yaakov. Bar-Shalom, Thomas E. Fortmann. Tracking and data association, Academic press, 1988, vol. 179.
  • 5Bar-Shalom, Birmiwal. k. Variable dimension filter for maneuvering target tracking. IEEE, 1982,18(5):611~619.
  • 6Bogler. P. L. Tracking a maneuvering target using input estimation. IEEE,1987,23(3) :298~310.
  • 7Blom H A P, Bar-Shalom. The interacting multiple model algorithm for systems with markovian switching coefficients. IEEE, 1988,33(8):780~783.
  • 8周宏仁,机动目标跟踪,1991年
  • 9周宏仁,航空学报,1983年,4卷,1期,73页
  • 10蔡庆宇 等.相控阵雷达数据处理及其仿真技术[M].北京:国防工业出版社,1997..

共引文献106

同被引文献95

引证文献13

二级引证文献58

;
使用帮助 返回顶部