雷达学报2022，Vol.11Issue(5)：765-777,13.DOI:10.12000/JR22013
空/时对称阵列雷达非高斯杂波背景下多秩距离扩展目标检测方法
Multi-rank Range-spread Target Detection Method for Space/Time Symmetric Array Radar under Non-Gaussian Clutter Background
摘要
Abstract
This study proposes a multi-rank range-spread target detection method for multi-channel array radar under a non-Gaussian clutter background. The method aims to detect the target from real clutter using the multi-channel array radar. First, a multi-rank range-spread target model was formulated using a subspace matrix with a rank greater than one and the coordinate vectors of corresponding range bins. Then, by exploiting the persymmetric structure information of the clutter covariance matrix under the detection scenario, wherein the radar receiver units were central symmetric in space or time, a small sample estimation strategy for the parameters to be solved through the unitary transformation was constructed. Further, a non-Gaussian clutter background multi-rank range-spread target detection method was designed based on the generalized likelihood ratio, Rao, and Wald tests. Finally, a theoretical derivation proved that the proposed detection method has the constant false alarm rate property. The experimental results based on both the simulated and measured data showed that the proposed detection method can ensure the constant false alarm rate property of the clutter covariance matrix. Additionally, compared with the existing detection methods, the proposed detection method improves the target detection performance under small sample support. Besides, the proposed detection method effectively improves the robustness of target detection under the condition of steering vector mismatch.关键词
自适应目标检测/距离扩展目标/多秩子空间/反对称性/非高斯Key words
Adaptive detection/Range-spread target/Multi-rank subspace/Persymmetry/Non-Gaussian分类
信息技术与安全科学引用本文复制引用
高永婵,潘丽燕,李亚超,左磊..空/时对称阵列雷达非高斯杂波背景下多秩距离扩展目标检测方法 [J].雷达学报,2022,11(5):765-777,13.基金项目
国家自然科学基金(61701370, 61871307, 61971432)，中国博士后科学基金(2019M653561, 2020T130493) （61701370, 61871307, 61971432）
