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基于NEYMAN-PEARSON准则的最优分布式量化检测融合算法 被引量：6

Optimum Detection Fusion Algorithm for Distributed and Quantized Neyman-Pearson Detection Systems
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摘要 研究分布式 NEYMAN-PEARSON量化检测融合系统的性能优化问题。融合系统由融合中心及多部传感器构成。各部传感器对同一目标或现象进行观测 ,并将量化后的观测信息传送至融合中心。融合中心对各部传感器的量化信息进行融合 ,并作出系统的最终判决。文中推导了融合系统检测性能最优化的必要条件 ,并在此基础上给出了各部传感器的最优量化规则。采用这一最优量化检测方法对分布式水声信号检测系统的性能进行优化 。 This paper considers the optimization of system performance for distributed and quantized Neyman Pearson detection systems. The distributed detection system consist of multiple sensors and a fusion center. Each sensor observes the same phenomenon and transmits its quantized observation to the fusion center. The fusion center integrates the quantized sensor observations and makes a final global decision. The necessary conditions for optimum detection for the distributed detection systems are derived, and the optimum sensor quantizer mappings are obtained. Using the optimum detection scheme to optimize the performance of a distributed underwater signal detection system, the system performance obtained is much better than that of individual sonars.
作者 相明 韩崇昭 赵俊渭 李钢虎
机构地区 西安交通大学电信学院 西北工业大学航海学院
出处 《探测与控制学报》 CSCD 北大核心 2002年第4期1-6,共6页 Journal of Detection & Control
关键词 检测融合 分布式量分检测系统 NEYMAN-PEARSON准则 水声信号检测 传感器 detection fusion distributed and quantized detection systems neyman pearson criterion underwater signal detection
分类号 TP274 [自动化与计算机技术—检测技术与自动化装置] U666.7 [交通运输工程—船舶及航道工程]
  • 相关文献

参考文献10

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二级参考文献8

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共引文献4

同被引文献38

  • 1叶雯,刘美南,陈晓宏.基于模式识别的台风风暴潮灾情等级评估模型研究[J].海洋通报,2004,23(4):65-70. 被引量：14
  • 2李启虎.第一讲 进入21世纪的声纳技术[J].物理,2006,35(5):402-407. 被引量：16
  • 3ZHANG Qian, Pramod K Varshney, Richard D Wesel. Optimal bi-level quantization of i. i. d. sensor observations for binary hypothesis testing[J]. IEEE Trans. Inform. Theory,2002,48(7):2105-2111.
  • 4Varshney P K. Distributed detection and data fusion[M]. New York: Springer-Verlag, 1997,
  • 5XIANG Ming. Optimization of distributed detection systems under neyrnan-pearson criterion[C]//The 9th International Conference on Information Fusion. US: IEEE, 2006:774-780.
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  • 8Douglas Warren, Peter Willett. Optimum quantization for detector fusion: some proofs,examples,and patholug[J]. Journal of the Franklin Institute, 1999,33(6) :323-359.
  • 9HU Jun, Risk S Blunt. On the optimality of finite level quantizations for distributed signal detection [J]. IEEE Trans Inform Theory, 2001, (47) : 1 665-1 671.
  • 10Peter Willett, Douglas Warren. The suboptirnality of randomized tests in distributed and quantized detection systems[J]. IEEE Trans Inform. Theory,1992,38(2):335-361.

引证文献6

二级引证文献29

探测与控制学报
2002年 第4期

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