[1]吴乐南.用多样本联合判决提高雷达目标识别正确性[J].东南大学学报(自然科学版),1989,19(4):21-30.[doi:10.3969/j.issn.1001-0505.1989.04.004]
 Wu Lenan Department of Radio Engineering.Increasing the Correctness in Radar Target Recognition by Multisample Joint Discrimination[J].Journal of Southeast University (Natural Science Edition),1989,19(4):21-30.[doi:10.3969/j.issn.1001-0505.1989.04.004]
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用多样本联合判决提高雷达目标识别正确性()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
19
期数:
1989年第4期
页码:
21-30
栏目:
本刊信息
出版日期:
1989-07-20

文章信息/Info

Title:
Increasing the Correctness in Radar Target Recognition by Multisample Joint Discrimination
作者:
吴乐南
东南大学无线电工程系
Author(s):
Wu Lenan Department of Radio Engineering
关键词:
模式识别 雷达目标 统计决策理论 分类
Keywords:
pattern recognition radar targets statistical decision theory classification
分类号:
+
DOI:
10.3969/j.issn.1001-0505.1989.04.004
摘要:
雷达目标识别要求可靠、实时,但目标起优会使错误概率增加。为在有限的观测时间内提高识别正确率,本文提出一种对多个测量样本遂次识别的结果联合判决的分类器结构,导出了联合判决后的平均错误概率表达式,并计算了多类情况下的分类器性能改善曲线。此方法简便易行,可以显著提高正确分类率,且增加了雷达系统的灵活性。最后,简单讨论了如何应用本方法取得所谓最佳实时识别效果。
Abstract:
Radar target recognition demands to be reliable and in real-time, however, the target fluctuation tends to increase the error probability. In order to enhance the correctness of identification in limited observation time, this paper proposes a frame of classifier by which a number of measured samples are recognized one by one and the results are discriminated jointly. An expression for mean error probabilities after the joint discrimination is derived, and the performance improvements in multi-class cases are calculated. This method is simple and can increase the correctness in classification and the flexibility in radar system. At last, a rough discussion is given on how to use this method to achieve the so-called optimum real-time recognition.

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更新日期/Last Update: 2013-04-30