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。
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 variance.Simulation results show that the modified algorithm is not only better in tracking weak maneuvering target than the conventional algorithm,but also in tracking the strong maneuvering target.
出处
《电子信息对抗技术》
2011年第1期34-38,共5页
Electronic Information Warfare Technology
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
current statistical model
maneuvering targets tracking
modified Rayleigh distribution
fuzzy membership function
