A stochastic geometric framework for Bayesian sensor array processing

贝叶斯传感器阵列处理的随机几何框架

• 批准号: DP130104404
• 负责人: Prof Ba-Ngu Vo
• 金额: $ 20.97万
• 依托单位: Curtin University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2013
• 资助国家: 澳大利亚
• 起止时间: 2013-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP130104404
• 关键词: stochastic; geometric; framework; Bayesian; sensor

This project develops a mathematical framework, and a new generation of techniques, for sensor array processing to address real-world problems with uncertainty in array parameters and number of signals. The outcomes will enhance the capability of sensors in many application areas including, radar, sonar, astronomy and wireless communications.

该项目为传感器阵列处理开发了一个数学框架和新一代技术，以解决阵列参数和信号数量不确定的现实问题。这些成果将提高传感器在许多应用领域的能力，包括雷达，声纳，天文学和无线通信。