论文部分内容阅读
本文将CFAR检测算法引入船舶导航雷达,探索研究了参量CFAR检测算法在导航雷达中的应用问题,基于导航雷达实测数据比较分析了均值类CFAR检测器的目标检测性能和杂波抑制能力,结果表明:参量CFAR检测方案用于导航雷达目标检测可在不同程度上提高导航雷达抗海尖峰的能力;SO检测器对海杂波中目标的检测能力以及抗尖海杂波的能力均优于GO和CA检测器,而GO检测器明显优于CA检测器,但是在杂波边缘情况下SO检测器性能要劣于GO检测器。这些有意义的结论为CFAR处理算法广泛应用于导航雷达系统提供了有价值的参考。
In this paper, the CFAR detection algorithm is introduced into ship navigation radar. The application of CFAR detection algorithm to navigation radar is explored. The target detection performance and clutter suppression capability of CFAR detector are compared and analyzed based on the measured data of navigation radar. : The parameter CFAR detection scheme is used to detect the target of navigation radar to improve the anti-sea spike capability of the navigation radar to varying degrees. The detection ability of the SO detector to the target in the sea clutter and the ability of resisting sharp sea clutter are better than GO and CA detector, while the GO detector is significantly superior to the CA detector, but the SO detector performs worse than the GO detector at clutter edges. These meaningful conclusions provide a valuable reference for the wide application of CFAR processing algorithms to navigation radar systems.