旋转参数和场景中心偏移的波数-域联合估计,用于大角度ISAR跨范围缩放
Bakun Zhu1, Weigang Zhu1, Hongfeng Pang1
1Department of Electronic and Optical Engineering, Space Engineering University, Beijing 101416, China.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
本研究提出了一种用于大角度反向合成光圈雷达 (ISAR) 跨范围缩放的新方法,解决了来自非均旋转和场景中心偏移 (SCO) 的挑战. 该技术提高了复杂目标ISAR成像的准确性.
科学领域:
- 雷达系统工程 雷达系统工程
- 信号处理 信号处理
- 电磁学 电磁学 电磁学 电磁学
背景情况:
- 传统的波数域方法用于大角度反向合成光圈雷达 (ISAR) 交叉范围缩放,受到非均的目标旋转和场景中心偏移 (SCO) 的限制.
- 准确的参数估计对于有效的ISAR成像至关重要,特别是在复杂的运动条件下.
研究的目的:
- 为了引入一种新的,准确的大角度ISAR跨范围缩放方法.
- 为了解决ISAR成像中不均旋转和SCO所带来的局限性.
- 为了提高复杂目标的ISAR跨范围扩展的精度.
主要方法:
- 开发一个不均的旋转波数-域信号模型,包括SCO.
- 关于联合估计算法的建议,该算法结合了粒子群优化 (PSO) 和图像评估.
- 导出范围和跨范围缩放因子,使用波数域内的估计参数.
主要成果:
- 准确估计与不均旋转和SCO相关的参数.
- 与传统方法相比,在ISAR跨范围缩放中取得了更高的准确性.
- 通过模拟,证明了拟议方法的有效性和稳定性.
结论:
- 拟议的联合估计方法有效地克服了大角度ISAR跨范围扩展的局限性.
- 这种方法为ISAR对具有复杂运动的目标成像提供了更准确和更强大的解决方案.
- 验证的方法对先进的雷达成像应用有重大影响.
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