基于模糊逻辑的交互式多模型滤波算法

周卫东; 刘璐; 唐佳

doi:10.13700/j.bh.1001-5965.2017.0160

基于模糊逻辑的交互式多模型滤波算法

doi: 10.13700/j.bh.1001-5965.2017.0160

周卫东^1, ,,
刘璐¹,
唐佳²

1.
哈尔滨工程大学自动化学院, 哈尔滨 150001
2.
江南工业集团有限公司, 湘潭 411100

基金项目:

国家自然科学基金 6157020038

详细信息

作者简介:
周卫东男，博士，教授，博士生导师。主要研究方向：组合导航、数据融合技术

刘璐女，博士研究生。主要研究方向：非线性滤波与信息融合技术

通讯作者:
周卫东. E-mail: zhouweidong@hrbeu.edu.cn

中图分类号: TP202⁺.2
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- 被引次数: 0
出版历程
- 收稿日期: 2017-03-20
- 录用日期: 2017-06-16
- 网络出版日期: 2018-03-20

Interactive multiple model filtering algorithm based on fuzzy logic

ZHOU Weidong^{1
, ,},
LIU Lu¹,
TANG Jia²

1.
College of Automation, Harbin Engineering University, Harbin 150001, China
2.
Jiangnan Industry Group Co., Ltd., Xiangtan 411100, China

Funds:

National Natural Science Foundation of China 6157020038

More Information

Corresponding author: ZHOU Weidong. E-mail: zhouweidong@hrbeu.edu.cn

摘要

摘要:
针对交互式多模型（IMM）滤波算法在对反舰导弹的"蛇形"机动方式进行跟踪时收敛速度慢、滤波精度低的问题。在三维空间内，假定目标以匀速直线和"蛇形"机动2种方式进行运动，以相对距离和视线角为观测信息，对IMM滤波算法的模型概率更新模块进行改进，提出了基于模糊逻辑的交互式多模型（FLIMM）滤波算法。通过仿真对比分析，改进后的算法能够有效地提高收敛速度，进而获得更高的跟踪精度。
- “蛇形”机动 /
- 目标跟踪 /
- 交互式多模型(IMM) /
- 模糊逻辑 /
- 滤波算法
Abstract:
The convergence speed and the filtering precision are poor when the interactive multiple model (IMM) filtering algorithm is applied to track the anti-ship missile in S maneuver. Thus a fuzzy logic interactive multiple model (FLIMM) filtering algorithm is proposed by improving the model probability updating module of IMM filtering algorithm in three-dimensional space. Taking relative distance and angle of sight as observation information, the algorithm assumes that the target moves in two modes:uniform motion in a straight line and S maneuver. The simulation shows that the proposed algorithm can improve the convergence speed effectively and achieve higher tracking accuracy.
- S maneuver /
- target tracking /
- interactive multiple model (IMM) /
- fuzzy logic /
- filtering algorithm

HTML全文

图 1 IMM滤波算法原理框图

Figure 1. Principle block diagram of IMM filtering algorithm

下载: 全尺寸图片幻灯片

图 2 基于模糊逻辑的模型概率更新模块结构

Figure 2. Structure of model probability updating module based on fuzzy logic

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图 3 I₁的隶属度函数

Figure 3. Membership function of I₁

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图 4 I₂的隶属度函数

Figure 4. Membership function of I₂

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图 5 u的隶属度函数

Figure 5. Membership function of u

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图 6 目标的运动轨迹

Figure 6. Motion trail of target

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图 7 z向位置估计误差

Figure 7. Estimation error of position in z axis

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图 8 z向速度估计误差

Figure 8. Estimation error of velocity in z axis

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图 9 z向加速度估计误差

Figure 9. Estimation error of acceleration in z axis

下载: 全尺寸图片幻灯片

表 1 模糊逻辑规则

Table 1. Rule of fuzzy logic

规则号	I₁	I₂	u
1	S	N	S
2	S	Z	S
3	S	P	M
4	M	N	S
5	M	Z	M
6	M	P	B
7	B	N	M
8	B	Z	B
9	B	P	B

下载: 导出CSV

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