Design of Customized Adaptive Radar Detectors in the CFAR Feature Plane

被引：15

作者：

Coluccia, Angelo ^{[1
]}

Fascista, Alessio ^{[1
]}

Ricci, Giuseppe ^{[1
]}

机构：

[1] Univ Salento, Dipartimento Ingn Innovaz, I-73100 Lecce, Italy

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2022年 / 70卷

关键词：

Detectors; Behavioral sciences; Radar detection; Signal to noise ratio; Radar; Receivers; Design methodology; GLRT; CFAR property; robust detectors; selective detectors; mismatched signals; feature space; DETECTION ALGORITHM; INVARIANCE THEORY; REJECTION; FRAMEWORK; PERFORMANCE; DISTURBANCE; SIGNALS; SEARCH;

D O I：

10.1109/TSP.2022.3216372

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：

The paper addresses the design of adaptive radar detectors with desired behavior, in Gaussian disturbance with unknown statistics. Specifically, based on detection probability specifications for chosen signal-to-noise ratios and steering vector mismatch levels, a methodology for the design of customized constant false alarm rate (CFAR) detectors is devised in a suitable feature plane obtained from two 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 feasible solution (i.e., fulfilling a constraint on the probability of false alarm) while controlling the behavior under both matched and mismatched conditions, so enabling the design of fully customized adaptive CFAR detectors.

引用

页码：5133 / 5147

页数：15

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