对于近场宽带光束成形中传感器选择问题的分支和边界方法的一般方案
Agnieszka Wielgus1, Bogusław Szlachetko1
1Department of Acoustics, Multimedia and Signal Processing, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50-370 Wrocław, Poland.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
这项研究解决了宽带接收器光束成形的复杂传感器选择问题. 开发了一种新的分支和结合算法和混合基因算法来优化传感器阵列,并取得了成功的结果.
科学领域:
- 信号处理 信号处理
- 阵列信号处理 阵列信号处理
- 优化优化 优化优化
背景情况:
- 传感器选择问题对于优化阵列系统性能至关重要.
- 宽带接收器的近场光束成型带来了重大的计算挑战.
- 现有的方法可能无法有效地处理传感器选择的NP-hard性质.
研究的目的:
- 为宽带近场光束成型中的传感器选择问题开发高效的算法.
- 为了在L2规范意义上优化系统响应.
- 提供适用于各种传感器阵列类型的通用方法.
主要方法:
- 开发一个分支和绑定算法来解决NP-hard传感器选择问题.
- 基于ITÖ工艺的高效混合基因算法的构建,用于更大的麦克风阵列.
- 数值实验以验证拟议的方法.
主要成果:
- 分支和结合算法有效地解决了传感器选择问题.
- 混合基因算法证明了大规模麦克风阵列的效率.
- 提出的方法被证明是普遍适用于不同的传感器选择问题.
结论:
- 开发的分支和结合和混合遗传算法为传感器选择问题提供了有效的解决方案.
- 提出的方法为优化各种传感器阵列提供了一种通用方法.
- 数字实验证实了所介绍的算法的成功应用和效率.
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