Design and experimental validation of knowledge-based CFAR detectors

被引：2

作者：

De Maio, A. ^{[1
]}

Farina, A. ^{[2
]}

Foglia, G. ^{[3
]}

机构：

[1] Univ Naples Federico II, Via Claudio 21, I-80125 Naples, Italy

[2] Selex Sistemi Integrat, Rome, Italy

[3] Elettr SpA, Rome, Italy

来源：

2006 IEEE RADAR CONFERENCE, VOLS 1 AND 2 | 2006年

关键词：

D O I：

10.1109/RADAR.2006.1631786

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：

This paper deals with the design and the analysis of Constant False Alarm Rate (CFAR) detectors exploiting Knowledge-Based (KB) processing techniques. The proposed algorithms are composed of two stages. The former is a KB data selector which, exploiting the a-priori information provided by a Geographic Information System (GIS), chooses the training sam ples for threshold adaptation. The latter stage is a conventional CFAR processor. The performance of the new schemes are analysed in the presence of real radar data, collected by the McMaster IPIX radar, also in comparison with other common CFAR detectors. The results show that noticeable performance improvements can be obtained suitably exploiting the a-priori information available about the sensed environment.

引用

页码：128 / +

页数：2

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