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磁偶极子模型下目标定位和参数估计的两种新方法
引用本文:王守觉,徐健,王宪保,覃鸿.磁偶极子模型下目标定位和参数估计的两种新方法[J].电子学报,2003,31(1):1-3.
作者姓名:王守觉  徐健  王宪保  覃鸿
作者单位:海军工程大学兵器工程系,湖北武汉 430033
基金项目:国家自然科学基金 (No 60 1 350 1 0 )
摘    要:本文分析了磁偶极子模型下目标磁场信号的时频域特征,并指出了磁定位和参数估计问题的难点和特殊性.提出了用二次差分矩阵法(SDMM)和频谱匹配法(FDMM)进行目标定位和参数估计.SDMM和FDMM都是利用信号的时域或频域特征先求解出系统中的重要参数,将高维的最优化问题转化为顺序求解的低维求解和参数估计问题.SDMM运算量较小、实时性好.FDMM可靠性较好,适于事后分析.对两种方法都进行了仿真计算,仿真结果符合理论分析,算法实现了目的.本文也分析了两种算法需要进一步解决的问题.

关 键 词:磁偶极子  磁定位  差分  CZT  
文章编号:0372-2112(2003)01-0001-03
收稿时间:2001-11-19
修稿时间:2002年9月23日

Multi-Camera Human-Face Personal Identification System Based on the BIOMIMETIC PATTERN RECOGNITION
WANG Shou jue ,XU Jian ,WANG Xian Bao ,QIN Hong.Multi-Camera Human-Face Personal Identification System Based on the BIOMIMETIC PATTERN RECOGNITION[J].Acta Electronica Sinica,2003,31(1):1-3.
Authors:WANG Shou jue    XU Jian  WANG Xian Bao  QIN Hong
Affiliation:Dept.Of Weaponry Eng.,Naval Univ.of Engineering,Wuhan,Hubei 430033 China
Abstract:A Multi camera Human face Personal Identification method,based on the BIOMIMETIC PATTERN RECOGNITION,had been proposed.The basic theory of neural networks with MULTI WEIGHT NEURON,in Multi camera Human face Personal Identification System Based on the BIOMIMETIC PATTERN RECOGNITION,had been discussed.A three camera system takes five combined pictures as learning samples in experiments.The basic course of human face picture preprocessing had been described.The results of experiments showed the correct identification rate as 96%,rejection rate as 4%,and no mistake in identification.Experiments showed that increasing the complexity of neural networks makes better identification result.
Keywords:pattern recognition  human  face identification  personal verification  data fusion  neural networks
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