基于模糊逻辑的自适应α-β滤波新算法  

New adaptive α-β tracking filter algorithm based on fuzzy logic

作　　者：李良群[1] 谢维信[1] 张智超[1] 

机构地区：[1]深圳大学ATR国防科技重点实验室,广东深圳518060

出　　处：《系统工程与电子技术》2013年第2期244-249,共6页Systems Engineering and Electronics

基　　金：国家自然科学基金(61271107);国家科技支撑计划重大项目(2011BAH24B12);高等学校博士学科点专项科研基金(20104408120001);广东省自然科学基金(S2012010009417)资助课题

摘　　要：针对非均匀稀疏采样环境下的被动机动目标跟踪问题,基于模糊逻辑推理,提出了一种新的自适应α-β滤波算法。详细分析了非均匀稀疏采样被动传感器上报数据的特点,将标准化新息和新息的一阶微分作为模糊推理的两个输入变量,并同时引入时间间隔、目标速度等因素,设计输入变量的调整因子,自适应获取滤波器参数。实验结果表明,提出的算法能够准确对机动目标进行跟踪,性能优良,且易于工程实现。A new adaptive α-β tracking filter algorithm based on fuzzy logic is proposed for maneuvering tar- get tracking in aperiodic sparseness sampling passive sensor network environment. The rules of the proposed al- gorithm are expressed in terms of two input variables and two output variables. The input variables are defined in terms of the prediction error and a change of the error. In order to adjust the parameters of the tracking filter, the adjustable index of input varables is designed based on the time interval of measurements and the target ve- locity. Finally, the experiment results show that the proposed algorithm can track maneuvering targets accu- rately and be used in engineering easily.

关 键 词：被动传感器 模糊逻辑 机动目标跟踪 自适应Α-Β滤波 

分 类 号：TN953[电子电信—信号与信息处理]