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相关概念视频

Poisson Probability Distribution01:09

Poisson Probability Distribution

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A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
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基于立方体和球体定向阵列的粒子源检测与鱼统计数据.

Sahana Srikanth1, Sanjeev Gurugopinath2, Koshy George3

  • 1Department of Electronics and Communication Engineering, PES University, Bengaluru, 560085, India. sahanas@pes.edu.

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本研究介绍了截断平均值测试 (TMT) 用于检测有方向阵列的动态粒子源. 模拟显示TMT优于一般化概率比率测试 (GLRT) 等现有方法,以提高检测准确度.

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科学领域:

  • 信号处理 信号处理
  • 声学 声学 在声学方面
  • 处理数组的数组处理.

背景情况:

  • 在各种科学和工程领域中,检测动态粒子源至关重要.
  • 定向数组用于源定位和特征.
  • 现有的源检测方法在性能和适用性方面存在局限性.

研究的目的:

  • 调查和比较不同的假设测试方法来检测远场动态粒子源.
  • 在源检测场景中评估立方体和球形定向阵列的性能.
  • 引入和验证截断平均值测试 (TMT) 作为一种优越的检测方法.

主要方法:

  • 对概率比率测试 (LRT),一般化LRT (GLRT) 和截断平均值测试 (TMT) 的分析.
  • 考虑静止和移动目标,并进行相关和独立的观测.
  • 通过模拟使用检测概率和错误报警率的性能评估.

主要成果:

  • 截断平均值测试 (TMT) 与现有方法相比显示出更高的性能.
  • 对立方和球形数组配置进行了性能分析.
  • 针对不同的测试策略,系统地分析了检测和错误报警的概率.

结论:

  • 截断平均测试 (TMT) 是一种高效的方法,用于检测远场动态粒子源.
  • 定向阵列配置 (立方形和球形) 撞击检测性能.
  • 在动态粒子源检测中,TMT比传统方法 (如GLRT) 提供了更高的准确性.