Compressive Sensing Based Target Detection in Delay-Doppler Radars

被引：0

作者：

Teke, Oguzhan ^{[1
]}

Arikan, Orhan ^{[1
]}

Gurbuz, Ali Cafer ^{[2
]}

机构：

[1] Bilkent Univ, Elekt & Elekt Muhendisligi Bolumu, Ankara, Turkey

[2] TOBB Ekonomi Teknol Univ, Elekt & Elekt Muhendisligi Bolumu, Ankara, Turkey

来源：

2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2013年

关键词：

Radar Signal Processing; Compressive Sensing;

D O I：

暂无

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：

Compressive Sensing theory shows that, a sparse signal can be reconstructed from its sub-Nyquist rate random samples. With this property, CS approach has many applications. Radar systems, which deal with sparse signal due to its nature, is one of the important application of CS theory. Even if CS approach is suitable for radar systems, classical detections schemes under Neyman-Pearson formulations may result high probability of false alarm, when CS approach is used, especially if the target has off-grid parameters. In this study, a new detection scheme which enables CS techniques to be used in radar systems is investigated.

引用

页数：4

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