论文标题
CFAR功能平面中定制的自适应雷达检测器的设计
Design of Customized Adaptive Radar Detectors in the CFAR Feature Plane
论文作者
论文摘要
本文以未知统计数据的高斯干扰涉及具有所需行为的自适应雷达检测器的设计。具体而言，给定检测概率规范，用于选择的信号噪声比和转向矢量不匹配水平，基于最大不变统计的合适特征平面，设计了一种定制CFAR检测器的最佳设计方法。为了克服所得优化问题的分析和数值棘手性，开发了一种新型的一般降低复杂性算法，该算法可有效地提供所需检测器的近似值。所提出的方法解决了确保在匹配和不匹配条件下控制行为的前缀的错误警报概率的开放问题，因此可以设计完全定制的自适应CFAR检测器。
The paper addresses the design of adaptive radar detectors having desired behavior, in Gaussian disturbance with unknown statistics. Specifically, given detection probability specifications for chosen signal-to-noise ratios and steering vector mismatch levels, a methodology for the optimal design of customized CFAR detectors is devised in a suitable feature plane based on maximal invariant statistics. To overcome the analytical and numerical intractability of the resulting optimization problem, a novel general reduced-complexity algorithm is developed, which is shown to be effective in providing a close approximation of the desired detector. The proposed approach solves the open problem of ensuring a prefixed false alarm probability while controlling the behavior under both matched and mismatched conditions, so enabling the design of fully customized adaptive CFAR detectors.
