Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

被引：40

作者：

Gishkori, Shahzad ^{[1
]}

Daniel, Liam ^{[2
]}

Gashinova, Marina ^{[2
]}

Mulgrew, Bernard ^{[1
]}

机构：

[1] Univ Edinburgh, Sch Engn, Inst Digital Commun, Edinburgh EH8 9YL, Midlothian, Scotland

[2] Univ Birmingham, Microwave Integrated Syst Lab, Sch Elect Elect & Syst Engn, Birmingham B15 2TT, W Midlands, England

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2019年 / 55卷 / 03期

基金：

英国工程与自然科学研究理事会;

关键词：

SUPERRESOLUTION; RESOLUTION;

D O I：

10.1109/TAES.2018.2871436

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In this paper, we propose a forward scanning synthetic aperture radar methodology for a forward-looking automotive (low-terahertz) radar, which combines scene scanning with synthetic aperture processing, resulting in enhanced angular resolution and improved imaging. We propose two algorithms, first, a modified back-projection (BP) algorithm and, second, a compressed sensing-based BP algorithm. We suggest techniques to reduce computational complexity of the proposed algorithms. Results of simulation and real-data experiments corroborate the validity of our proposed methodology and algorithms.

引用

页码：1420 / 1434

页数：15

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