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一种新的双基阵纯方位机动目标跟踪算法
引用本文:徐本连,王执铨. 一种新的双基阵纯方位机动目标跟踪算法[J]. 南京理工大学学报(自然科学版), 2006, 30(2): 142-146
作者姓名:徐本连  王执铨
作者单位:南京理工大学,自动化学院,江苏,南京,210094;南京理工大学,自动化学院,江苏,南京,210094
基金项目:国家自然科学基金;河南省教育厅自然科学基金
摘    要:针对方位测量方程的非线性问题,提出了一种基于改进的自构建神经模糊网络(SONFIN)的双基阵纯方位机动目标跟踪算法。该算法首先利用目标方位角信息,对其进行目标特征提取,然后利用小波基函数所具有的时频局部分析能力,提出了用小波基函数来代替高斯基函数这一策略。仿真结果表明,神经模糊网络可实现双基阵纯方位机动目标的实时跟踪,并且改进后的网络跟踪性能要优于高斯基网络。

关 键 词:神经模糊网络  纯方位  机动目标跟踪
文章编号:1005-9830(2006)02-0142-05
收稿时间:2005-03-16
修稿时间:2006-01-06

New Algorithm for Bearings-only Maneuvering Target Tracking Using Bistatic System
XU Ben-lian,WANG Zhi-quan. New Algorithm for Bearings-only Maneuvering Target Tracking Using Bistatic System[J]. Journal of Nanjing University of Science and Technology(Nature Science), 2006, 30(2): 142-146
Authors:XU Ben-lian  WANG Zhi-quan
Affiliation:School of Automation, NUST, Nanjing 210094, China
Abstract:In terms of the nonlinearity of the bearing measurement equation,an improved self-constructing neural fuzzy inference network(SONFIN) based algorithm is studied and applied to the case of the bearings-only maneuvering target tracking using bistatic sonar system.First the proposed algorithm extracts target features based on the bearing information,then a new strategy is proposed,i.e.the gauss membership function is replaced by wavelet basis function because of its good time-frequency analysis ability.Simulation results show that the SONFIN can track the maneuvering target instantly and additionally,and that the improved SONFIN has better tracking performance than that of SONFIN with gauss membership function.
Keywords:neural fuzzy inference network   bearings-only   maneuvering target tracking
本文献已被 CNKI 维普 万方数据 等数据库收录!
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