活动声纳的连贯整合方法用于机动转向目标检测
Kaiyang Hou1,2,3, Dajun Sun1,2,3, Tingting Teng1,2,3
1National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China.
The Journal of the Acoustical Society of America
|May 8, 2024
概括
这项研究引入了一种使用声纳检测机动转向目标 (MTT) 的新方法. 修改后的拉登 - 里埃转换通过准确建模目标运动和补偿多普勒移动来改善信号检测.
科学领域:
- 水下声学 水下声学
- 信号处理 信号处理
- 目标检测 目标检测
背景情况:
- 活跃的声纳在探测弱弱的水下目标方面扎.
- 一致整合提高了信号噪声比,但受到操纵目标运动的挑战.
- 由于模型不匹配,现有的方法在操纵转向目标时失败.
研究的目的:
- 提出一种改进的集成方法,用于在主动声纳中操纵转向目标 (MTT).
- 准确地建模和补偿复杂的范围和多普勒频率迁移.
- 为了提高水下目标的检测概率.
主要方法:
- 为水下MTT集成开发了一个修改后的拉登 - 里埃变换.
- 为MTT构建了一个理论上准确的运动模型.
- 实现了相位补偿功能,以解决多普勒频率迁移.
主要成果:
- 在范围-速度和偏移角度-转速维度方面实现了精准的集成峰值.
- 准确估计目标运动参数,用于操纵转向目标.
- 已证明的集成效益大约比传统方法高4-7dB.
结论:
- 拟议的方法有效地整合了机动转向目标,优于传统方法.
- 该方法强大,适用于各种目标运动,包括辐射和斜均运动.
- 通过模拟和湖泊测试进行验证,证实其实际适用性.
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