采用自适应功率回归门限设定的HF雷达舰船探测(英文)

Ship Detection with Adaptive Power Regression Thresholding for HF Radar

高频(HF)雷达能够探测和跟踪极远距离上的目标。但是,包含外部噪声、各种不同杂波和干扰的信号环境将大大限制探测性能和系统能力。文中研究了一种新方法来解决复杂HF雷达信号环境中的目标探测问题。该方法采用传统的恒虚警率(CFAR)检测方法,但其门限设置是基于沿距离和多普勒单元功率谱值的回归分析。就中,CFAR检测试验规则与局部峰值测量方法相结合。文中所提探测方法已经真实HF雷达数据试验,得到了很有前景的结果。

High frequency（HF） radars are capable to detect and track targets at extremely long ranges. But the signal environment that includes external noise, different kinds of clutter and interference will significantly limit the detection performance and system capability. This paper considers a new approach to solve the target detection problem in a complex HF radar signal environment. It uses a conventional constant falsealarm-rate（CFAR） detection procedure but the thresholding scheme is based on regression analysis of power spectrum values along range and Doppler cells. The CFAR detection test rule was combined with a local peak determination procedure. The proposed detection scheme has been tested using real HF radar data and gave very promising results.