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Adaptive Detection of Point Targets in Compound-Gaussian Clutter With Inverse Gamma Texture
IEEE Transactions on Aerospace and Electronic Systems ( IF 5.1 ) Pub Date : 2024-03-21 , DOI: 10.1109/taes.2024.3374715 Qing Wang 1 , Xuan Zhou 1 , Weijian Liu 2 , Jun Liu 3 , Xueli Fang 4 , Daikun Zheng 2
IEEE Transactions on Aerospace and Electronic Systems ( IF 5.1 ) Pub Date : 2024-03-21 , DOI: 10.1109/taes.2024.3374715 Qing Wang 1 , Xuan Zhou 1 , Weijian Liu 2 , Jun Liu 3 , Xueli Fang 4 , Daikun Zheng 2
Affiliation
This article investigates the problem of adaptive detection of point targets against compound-Gaussian (CG) clutter with inverse gamma (IG) texture. Under the subspace signal model, we first propose adaptive detectors without signal mismatch based on the one-step generalized likelihood ratio test (1S-GLRT), maximum a posteriori Rao (MAP-Rao), MAP-Wald, MAP-Gradient, and MAP-Durbin criteria. These detectors have a unified expression, denoted as IG subspace-based GLRT (IG-SGLRT), which performs better than existing detectors. Then, in the case of mismatched signals, we add virtual interference under the null hypothesis and introduce a unified detector based on 1S-GLRT, MAP-GLRT, and two-step GLRT (2S-GLRT), named the IG subspace-based whitened adaptive beamformer orthogonal rejection test (IG-SWABORT), which has better selectivity than the IG-SGLRT. Finally, on the basis of the above two types of unified detectors, we design a dual-parameter tunable detector, named tunable IG SGLRT WABORT (T-IG-SGWABORT), which can provide superior robustness or selectivity for mismatched signals by adjusting parameters. In addition, the tunable detector can even obtain better detection performance in the absence of a signal mismatch than the existing detectors. Experimental results of simulations and measured data verify the effectiveness of the proposed detectors. Simulation experiments also demonstrate that all the proposed detectors have constant false alarm rate (CFAR) properties with respect to the covariance matrix.
中文翻译:
具有逆伽玛纹理的复合高斯杂波中点目标的自适应检测
本文研究了针对具有逆伽马 (IG) 纹理的复合高斯 (CG) 杂波的点目标的自适应检测问题。在子空间信号模型下,我们首先提出基于一步广义似然比测试(1S-GLRT)、最大后验Rao(MAP-Rao)、MAP-Wald、MAP-Gradient和MAP的无信号失配的自适应检测器-杜宾标准。这些检测器具有统一的表达,表示为基于IG子空间的GLRT(IG-SGLRT),其性能比现有检测器更好。然后,在信号不匹配的情况下,我们在零假设下添加虚拟干扰,并引入基于1S-GLRT、MAP-GLRT和两步GLRT(2S-GLRT)的统一检测器,称为基于IG子空间的白化检测器自适应波束形成器正交抑制测试(IG-SWABORT),比IG-SGLRT具有更好的选择性。最后,在上述两类统一探测器的基础上,我们设计了一种双参数可调谐探测器,命名为可调谐IG SGLRT WABORT(T-IG-SGWABORT),它可以通过调整参数为失配信号提供卓越的鲁棒性或选择性。此外,在没有信号失配的情况下,可调谐探测器甚至可以获得比现有探测器更好的探测性能。模拟实验结果和测量数据验证了所提出探测器的有效性。仿真实验还表明,所有提出的检测器都具有关于协方差矩阵的恒定误报率(CFAR)特性。
更新日期:2024-03-21
中文翻译:
具有逆伽玛纹理的复合高斯杂波中点目标的自适应检测
本文研究了针对具有逆伽马 (IG) 纹理的复合高斯 (CG) 杂波的点目标的自适应检测问题。在子空间信号模型下,我们首先提出基于一步广义似然比测试(1S-GLRT)、最大后验Rao(MAP-Rao)、MAP-Wald、MAP-Gradient和MAP的无信号失配的自适应检测器-杜宾标准。这些检测器具有统一的表达,表示为基于IG子空间的GLRT(IG-SGLRT),其性能比现有检测器更好。然后,在信号不匹配的情况下,我们在零假设下添加虚拟干扰,并引入基于1S-GLRT、MAP-GLRT和两步GLRT(2S-GLRT)的统一检测器,称为基于IG子空间的白化检测器自适应波束形成器正交抑制测试(IG-SWABORT),比IG-SGLRT具有更好的选择性。最后,在上述两类统一探测器的基础上,我们设计了一种双参数可调谐探测器,命名为可调谐IG SGLRT WABORT(T-IG-SGWABORT),它可以通过调整参数为失配信号提供卓越的鲁棒性或选择性。此外,在没有信号失配的情况下,可调谐探测器甚至可以获得比现有探测器更好的探测性能。模拟实验结果和测量数据验证了所提出探测器的有效性。仿真实验还表明,所有提出的检测器都具有关于协方差矩阵的恒定误报率(CFAR)特性。