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计算机工程 ›› 2012, Vol. 38 ›› Issue (3): 7-8,11. doi: 10.3969/j.issn.1000-3428.2012.03.003

• 博士论文 • 上一篇    下一篇

光电成像探测系统的性能预测方法

徐保树1,2,3,4,史泽林1,3,4   

  1. (1. 中国科学院研究生院,北京 100049;2. 中国科学院沈阳自动化研究所,沈阳 110016; 3. 中国科学院光电信息处理重点实验室,沈阳 110016;4. 辽宁省图像理解与视觉计算重点实验室,沈阳 110016)
  • 收稿日期:2011-07-26 出版日期:2012-02-05 发布日期:2012-02-05
  • 作者简介:徐保树(1985-),男,博士研究生,主研方向:光电成像系统设计;史泽林,研究员、博士、博士生导师
  • 基金资助:
    中国科学院国防科技创新基金资助项目(CXJJ-11)

Performance Prediction Method of Photoelectric Imaging Detection System

XU Bao-shu 1,2,3,4, SHI Ze-lin 1,3,4   

  1. This paper proposes a performance prediction method of photoelectric imaging detection system. It designes the detection system model including the sensor and processor. Likelihood ration test detector is designed under minimum error probability which is based on signal detection theory. Analytical expression of false probability is derived based on central limit theorem. Experimental results show that detection error rate drops with the quantitative digits improving, and calculation error rates and simulation error rates are basically the same.
  • Received:2011-07-26 Online:2012-02-05 Published:2012-02-05

摘要: 提出一种光电成像探测系统的性能预测方法。介绍包含传感器、处理器的探测系统模型。根据信号检测理论,以最小错误概率准则设计似然比探测器,利用中心极限定理计算错误率。实验结果表明,随着量化位数的增大,系统错误率逐渐减少,且计算错误率与仿真错误率趋于一致。

关键词: 光电系统, 成像探测, 性能预测, 假设检验

Abstract: This paper proposes a performance prediction method of photoelectric imaging detection system. It designes the detection system model including the sensor and processor. Likelihood ration test detector is designed under minimum error probability which is based on signal detection theory. Analytical expression of false probability is derived based on central limit theorem. Experimental results show that detection error rate drops with the quantitative digits improving, and calculation error rates and simulation error rates are basically the same.

Key words: photoelectric system, imaging detection, performance prediction, hypothesis test

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