摘要
针对FACSAF算法在预测强机动目标时存在的不足,提出了一种改进的算法MFACSAF。该算法利用滤波残差来自适应地改变调整系数,提出了一种改进的模糊隶属度函数。最后运用MFACSAF和FACSAF算法对机动目标进行了航迹预测仿真实验并分析比较了两者的仿真实验结果,结果表明,MFACSAF算法保持了FACSAF算法对于一般机动目标的航迹预测性能,同时也提高了对强机动目标的航迹预测效果。
To solve FACSAF algorithm＇s problem,this paper proposed a modified algorithm called MFACSAF. It presented a modified fuzzy membership function which used the filtering residual to adjust the adjustment coefficient adaptively. At last,it did a simulation experiment which used MFACSAF algorithm and FACSAF algorithm to predict the track of maneuvering target,and compared their results. The results of simulation experiment show that,MFACSAF algorithm has the same performance as FACSAF algorithm when it predicts general maneuvering targets,and has a better performance than FACSAF algorithm when it predicts strong maneuvering targets.
出处
《计算机应用研究》
CSCD
北大核心
2014年第7期1962-1964,1979,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(61202490)
