中文摘要：

雷达目标恒虚警检测技术是雷达信号处理系统中的关键技术,雷达目标恒虚警检测技术按杂波强度估计方式的不同可分为滑窗式检测和杂波图检测。杂波图检测方法常用于空域变化较剧烈的非均匀杂波背景,但经典的Nitzberg杂波图检测方法在拖尾较重的非高斯杂波背景中性能会恶化。本文基于非相干积累提出了一种杂波图检测新方法,并给出了其数学模型和数值分析结果。分析结果表明,该方法在“尖锐”杂波环境中的检测性能较好,且便于工程实现。

英文摘要：

Signal echoes from radar targets are usually buried in thermal noise and clutter, reflected back to the receiver by buildings, clouds, and the sea. The clutter-plus-noise power is not known at any given location, thus a fixed-threshold detection scheme cannot be applied if the false alarm rate is to be controlled. A class of schemes that can be used to overcome the problem of clutter; the constant false alarm rate （CFAR） processing schemes,set a threshold adaptively based on local information of total noise power. CFAR detection of radar targets can be implemented by a sliding-window detection approach or through the clutter map technique. The clutter map technique is often used for the radar target detection in a non-homogeneous background where the clutter power in spatial domain changes abruptly. However, the detection performance of the classic Nitzberg ＇s clutter map on a non- Gaussian distributed background with a heavy long-tail greatly degrades. In our work, a new clutter map detection method based on non-coherent integration is presented. The analytic results show that its detection performance improves in a more spiky clutter environment, and it can be easily implemented.