| 混响背景下基于自动删除算法的最小选择恒虚警检测器 |
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| 引用本文： | 许江湖,张明敏,王平波.混响背景下基于自动删除算法的最小选择恒虚警检测器[J].武汉理工大学学报(交通科学与工程版),2007,31(2):277-280. |
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| 作者姓名： | 许江湖 张明敏 王平波 |
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| 作者单位： | 海军工程大学电子工程学院,武汉,430033 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 针对Barnard等人提出的非高斯混响背景下的恒虚警检测器在非均匀环境中性能下降的缺点,将基于自动删除算法的最小选择恒虚警检测方法运用于其检测器结构中,提出了非高斯混响背景下基于自动删除算法的最小选择恒虚警检测器.该方法可以自动删除参考单元中的干扰点,从而可以克服Barnard等人提出的方法存在的缺点.推导出了该检测器的平均虚警概率和平均检测概率.最后通过对仿真数据和试验数据的处理结果验证了该检测器的优越性.
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| 关 键 词： | 自动删除算法 最小选择 恒虚警 水下目标检测 |
| 修稿时间： | 2006-10-09 |
Smallest of CFAR Detector Based on Automatic Censored Algorithm in the Presence of Reverberation |
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| Xu Jianghu,Zhang Mingmin,Wang Pingbo.Smallest of CFAR Detector Based on Automatic Censored Algorithm in the Presence of Reverberation[J].journal of wuhan university of technology(transportation science&engineering),2007,31(2):277-280. |
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| Authors: | Xu Jianghu Zhang Mingmin Wang Pingbo |
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| Institution: | Electronics Engineering College, Naval Univ. of Engineering , Wuhan 430033 |
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| Abstract: | As the limitation of constant false alarm rate(CFAR) detection method in the presence of non-Gaussian reverberation which is proposed by Barnard et al.,it exhibits performance degradation in nonhomogeneous environment.Smallest of CFAR detection method based on automatic censored algorithm is applied to its structure of detector.The smallest of CFAR detector based on automatic censored algorithm in the presence of non-Gaussian reverberation is proposed.It automatically censors the interfering points in reference cells,so the limitation of method proposed by Barnard et al.can be overcome.The analytic expressions of average false alarm and average detection probabilities are derived for the detector.Its superior performance is justified by processing of the simulation data and experimental data. |
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| Keywords: | automatic censored algorithm smallest of CFAR underwater target detection |
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