| 基于MCSM的自适应跟踪算法 |
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| 引用本文： | 孙福明,吴秀清. 基于MCSM的自适应跟踪算法[J]. 系统工程与电子技术, 2007, 29(9): 1420-1423 |
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| 作者姓名： | 孙福明 吴秀清 |
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| 作者单位： | 中国科学技术大学电子工程与信息科学系,安徽,合肥,230027 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 针对基于"当前"统计模型的算法跟踪突发强机动目标性能下降的问题,提出了一种通过强机动自适应检测调整模型参数的改进算法。该算法利用残差统计距离的概率分布设置目标强机动的检测门限,根据目标的机动水平联合调整模型的机动频率、最大机动加速度以及滤波器增益,在保持"当前"统计模型跟踪算法对一般机动目标跟踪精度的前提下,增强了系统对突发强机动目标的自适应跟踪能力。仿真结果表明,该算法扩大了跟踪机动目标的动态范围,提高了跟踪性能。
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| 关 键 词： | 状态估计 当前统计模型 统计距离 自适应跟踪 滤波增益 |
| 文章编号： | 1001-506X(2007)09-1420-04 |
| 修稿时间： | 2006-11-01 |
Adaptive tracking algorithm based on MCSM |
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| SUN Fu-ming,WU Xiu-qing. Adaptive tracking algorithm based on MCSM[J]. System Engineering and Electronics, 2007, 29(9): 1420-1423 |
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| Authors: | SUN Fu-ming WU Xiu-qing |
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| Abstract: | To improve the tracking performance of maneuvering target,a new adaptive maneuvering target tracking algorithm with the detection of strong maneuvering is presented based on the modified "current" statistical model(MCSM).By adopting the probability distribution of innovation statistical distance to judge maneuvering levels so as to adjust both maneuvering frequency and maximum acceleration,even filter gain.This algorithm improves adaptively the tracking performance of the strong maneuvering target and still has the same high precision to tracking common maneuvering target as that of traditional current statistical model.The simulation results show that the dynamic range of tracking target is enlanged and the tracking performance is improved with this algorithm based on MCSM. |
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| Keywords: | state estimation current statistical model statistical distance adaptive tracking filter gain |
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