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一种目标身份识别算法的评估新方法
引用本文:程云鹏,肖兵,金宏斌,段克清.一种目标身份识别算法的评估新方法[J].计算机测量与控制,2006,14(10):1377-1379.
作者姓名:程云鹏  肖兵  金宏斌  段克清
作者单位:1. 空军雷达学院,研究生管理大队,湖北,武汉,430019
2. 空军雷达学院,信息与自动化系,湖北,武汉,430019
摘    要:随着融合理论的发展,提出了多种目标身份识别算法,但是目前目标身份识别算法评估的研究相当有限,也还没有形成一种完整的、通用的评估理论.因此算法评估成为目标身份识别技术中一个蕈要的研究课题;为了对目标身份识别算法进行定量评估,提出了一种适合战场应用的评估新方法,利用该方法对某种目标身份识别算法进行了定量分析,结果证明该方法具有可行性.可以满足现代战场的需要。

关 键 词:身份识别  算法评估  Bayes理论  Monte  Carlo方法  Gibbs采样
文章编号:1671-4598(2006)10-1377-03
收稿时间:2006-01-03
修稿时间:2006-02-19

New Method for Evaluating Target Identity Recognition Algorithms
Cheng Yunpeng,Xiao Bing,Jin Hongbin,Duan Keqing.New Method for Evaluating Target Identity Recognition Algorithms[J].Computer Measurement & Control,2006,14(10):1377-1379.
Authors:Cheng Yunpeng  Xiao Bing  Jin Hongbin  Duan Keqing
Abstract:With the development of data fusion theory, a lot of target recognition algorithms have been proposed. At present, the research of the target identity recognition algorithms evaluation is fairly limited, and a integrated and universal evaluation theory has never been formed. So the target identity recognition algorithms evaluation has become an important problem. In order to evaluate the algorithms quantificationally, a novel method is proposed. This method is used to evaluate a target identity recognition algorithm. It is proved by simulation that this method has practical value, h can meet the modern war needs.
Keywords:identity recognition  algorithms evaluation  Bayes theory  Monte Carlo method  Gibbs sampling
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