摘要
介绍了全维和降维空时自适应处理(STAP)的基本原理,通过分析鱼雷工作环境、工作方式以及数据组织方式,讨论了采用STAP方法提高声自导鱼雷混响背景下目标检测性能的可能性,给出了关键步骤的解决方案和STAP抗混响的基本流程。分析结果表明,采用STAP进行混响抑制难度要大于对机载预警(AEW)雷达杂波的抑制,然而在实现上却是可能的。仿真结果表明,采用STAP方法能够获得比常规方法更好的检测性能。STAP方法能够充分利用声自导鱼雷混响空时分布特性,是一种有前途的抑制鱼雷混响的新方法。
The principle of full dimension and reduced dimension space time adaptive processing （STAP） was introduced. By analyzing torpedo＇s working environment and mode, and its data structure, the possibility to improve target detection performance of acoustic homing torpedo under reverberation background with STAP method was discussed, and the solutions to the key steps and the basic flow of reverberation suppression using STAP were given. The analysis shows that reverberation suppression using STAP is more difficult than clutter suppression of airborne early warning（AEW） radar, but its implementation is possible. Simulation results show that better target detection performance can be achieved by using STAP method than by conventional method. STAP method can sufficiently utilize the reverberation space time distribution characteristics of acoustic homing torpedo, so it will be a prospective method for reverberation suppression.
出处
《鱼雷技术》
2008年第2期25-30,共6页
Torpedo Technology
关键词
声自导鱼雷
混响
空时自适应处理(STAP)
目标检测
acoustic homing torpedo
reverberation
space time adaptive processing（STAP）
target detection
