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修正的“当前”统计模型自适应跟踪算法
引用本文:王树亮,阮怀林. 修正的“当前”统计模型自适应跟踪算法[J]. 电子信息对抗技术, 2011, 26(1): 34-38
作者姓名:王树亮  阮怀林
作者单位:电子工程学院,合肥,230037
摘    要:"当前"统计模型及其自适应卡尔曼滤波算法虽能对强机动目标进行较好跟踪,但对弱机动目标存在较大跟踪误差。针对这一问题,在推导传统"当前"统计模型适用范围的基础上,提出一种修正的"当前"统计模型算法。该算法用正态分布来弥补修正瑞利分布的缺陷,同时利用模糊隶属度函数对系统方差做加权调整。仿真结果表明,新算法较传统算法不仅提高了对弱机动目标的跟踪精度,对强机动目标的跟踪精度也有较大程度的提高。

关 键 词:当前统计模型  机动目标跟踪  修正瑞利分布  模糊隶属度函数

Modified Current Statistical Model and Adaptive Tracking Algorithm
WANG Shu-liang,RUAN Huai-lin. Modified Current Statistical Model and Adaptive Tracking Algorithm[J]. , 2011, 26(1): 34-38
Authors:WANG Shu-liang  RUAN Huai-lin
Affiliation:WANG Shu-liang,RUAN Huai-lin(Electronic Engineering Institute,Hefei 230037,China)
Abstract:The current statistical model and adaptive filtering algorithm is an effective method for tracking strong maneuvering targets.However,its precision in tracking the weak maneuvering targets is lower.For that the applicable bound of conventional current statistical model is derived and a modified current statistical model tracking algorithm is proposed.Normal distribution is used to make up for the defect of the modified Rayleigh distribution and the fuzzy membership function is used to adjust the system vari...
Keywords:current statistical model  maneuvering targets tracking  modified Rayleigh distribution  fuzzy membership function  
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