Adaptive Detection of Point-Like Targets in the Presence of Homogeneous Clutter and Subspace Interference

被引:58
作者
Aubry, A. [1 ]
De Maio, A. [1 ]
Orlando, D. [2 ]
Piezzo, M. [1 ]
机构
[1] Univ Naples Federico II, Dipartimento Ingn Elettr & Tecnol Informaz, I-80125 Naples, Italy
[2] ELETTRONICA SpA, I-00131 Rome, Italy
关键词
Constant False Alarm Rate (CFAR); method of Sieves; modified Generalized Likelihood Ratio Test (MGLRT); structured interference; target detection; DISTRIBUTED TARGETS; RADAR DETECTION; CFAR DETECTION; NOISE; GLRT; ENVIRONMENT; ALGORITHM;
D O I
10.1109/LSP.2014.2309434
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this letter, we devise an adaptive decision scheme for point-like targets capable of handling the joint presence of homogeneous clutter and structured interference in the primary and secondary data. To this end, we resort to a design procedure based on the method of sieves: the usual generalized likelihood ratio test (GLRT) is modified constraining the unknown parameters to belong to a suitable subset of the original space ensuring unique solutions for the involved optimizations. Remarkably, the proposed receiver possesses the constant false alarm rate (CFAR) property with respect to the unknown covariance matrix of the unstructured interference. At the analysis stage, closed-form expressions for the false alarm and detection probabilities are derived.
引用
收藏
页码:848 / 852
页数:5
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