Millimeter-Wave SAR-Imaging With Radar Networks Based on Radar Self-Localization

被引：27

作者：

Steiner, Maximilian ^{[1
]}

Grebner, Timo ^{[1
]}

Waldschmidt, Christian ^{[1
]}

机构：

[1] Ulm Univ, Inst Microwave Engn, D-89081 Ulm, Germany

来源：

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES | 2020年 / 68卷 / 11期

关键词：

Sensors; Radar imaging; Chirp; Synthetic aperture radar; Trajectory; Spaceborne radar; Ego-motion; motion estimation; networks; radar systems; radar transceivers; sensor; synthetic aperture radar (SAR); SLAM;

D O I：

10.1109/TMTT.2020.2995225

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 article, an imaging system is presented, which is solely based on distributed radar sensors mounted on a mobile platform, such as a robot or vehicle. The data of multiple distributed sensors, which perform fast chirp-sequence measurements, are processed together. This enables both a highly accurate ego-motion estimation and a coherent synthetic aperture radar (SAR) imaging based on it. This system is independent of any additional sensors, such as an inertial measurement unit (IMU) for motion estimation or a global navigation satellite system (GNSS) for self-localization. Measurements using four sensors are carried out at 77 GHz to verify simulations.

引用

页码：4652 / 4661

页数：10

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