在3D地形中优化多节点小型雷达网络部署
Zhiyi Wang1,2, Min Wang1, Xinghui Wu1
1National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
在复杂的地形中部署雷达网络需要先进的建模. 本研究介绍了抛物线方程模型 (PEM) 和分层有效覆盖率 (LECR) 以优化雷达网络部署.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 地理空间分析是什么
背景情况:
- 城市和山区的雷达网络部署受到地形的挑战.
- 现有的优化方法使用简化的传播模型,忽视基于高度的覆盖范围变化.
- 精确的无线电波传播建模考虑到3D地形对于有效的雷达部署至关重要.
研究的目的:
- 将抛物线方程模型 (PEM) 引入用于考虑到地形的雷达网络部署.
- 建议分层有效覆盖率 (LECR) 作为一个优化目标.
- 在复杂的地形中优化多节点小型雷达网络.
主要方法:
- 抛物线方程模型 (PEM) 适用于3D地形中的雷达传播.
- 层级有效覆盖率 (LECR) 定义是为了评估跨海拔层的覆盖率.
- 无主导排序基因算法III (NSGA-III) 用于多目标优化.
主要成果:
- 抛物线方程模型 (PEM) 在各种地形中提供比更简单的模型更准确的覆盖率预测.
- 层级有效覆盖率 (LECR) 有效地指导了优化过程.
- 考虑到地形限制,NSGA-III成功优化了雷达网络部署.
结论:
- 纳入抛物线方程模型 (PEM) 显著改善了复杂地形中的雷达网络部署策略.
- 拟议的分层有效覆盖率 (LECR) 和NSGA-III为优化雷达网络性能提供了有效的方法.
- 这项研究提高了雷达网络在具有挑战性的地理环境中的可靠性和效率.
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