Automotive Squint-Forward-Looking SAR: High Resolution and Early Warning

Hu, Ruizhi; Shankar, M. R. Bhavani; Murtada, Ahmed; Alaee-Kerahroodi, Mohammad; Ottersten, Björn

doi:10.1109/jstsp.2021.3064175

Cited by 12 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… In-depth utilization of detection capabilities. Taking the selection of imaging area as an example, Conv-SAR has a forward-looking blind zone [5]. However, CF-SAR can solve the problem of forward-looking imaging through the autonomous adjustment of radar trajectory and arbitrary control of beam steering, which maximize the technical advantages of SAR.…”

Section: Introductionmentioning

confidence: 99%

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

et al. 2022

View full text Add to dashboard Cite

The research into curvilinear flight synthetic aperture radar (CF-SAR) is the inevitable result of the comprehensive practicality of SAR. The flight path of the SAR platform in real applications, which is highly nonlinear or curvy due to three-dimensional velocity and acceleration, cannot be described by the traditional uniform linear motion model. New mathematical models, signal characteristics, imaging algorithms, and system design criteria must be proposed and investigated for CF-SAR. This paper provides a comprehensive overview of CF-SAR. Firstly, the basic concept, unified model, and general signal characteristics of CF-SAR are defined, derived, and analyzed, respectively. Additionally, the advantages and drawbacks of current methodologies are reviewed. Discussions on the CF-SAR’s applications are presented from the perspective of typical platforms, new configurations, and advanced technologies, which are suitable means to fulfill the increasing user requirements. Finally, the challenges faced by CF-SAR are summarized, and some future trends for the study of CF-SAR are explored. Hopefully, this paper will serve as a reference for SAR researchers/engineers and stimulate the future development and actual application of CF-SAR.

show abstract

Section: Introductionmentioning

confidence: 99%

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Hu et al [18] have Analyzed the automotive SAR resolution and showed that when the ego-velocity is known the SAR can be useful for detecting obstacles in the squint forward direction. Gishkori et al [19] have developed a modified backprojection (BP) algorithm and a compressed sensing based BP algorithm, which is based on known vehicle motion.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Automotive SAR With Radar Based Motion Estimation

Bialer¹,

Tirer²

2022

Preprint

View full text Add to dashboard Cite

Automotive synthetic aperture radar (SAR) can achieve a significant angular resolution enhancement for detecting static objects, which is essential for automated driving. Obtaining high resolution SAR images requires precise ego vehicle velocity estimation. A small velocity estimation error can result in a focused SAR image with objects at offset angles. In this paper, we consider an automotive SAR system that produces SAR images of static objects based on ego vehicle velocity estimation from the radar return signal without the overhead in complexity and cost of using an auxiliary global navigation satellite system (GNSS) and inertial measurement unit (IMU). We derive a novel analytical approximation for the automotive SAR angle estimation error variance when the velocity is estimated by the radar. The developed analytical analysis closely predicts the true SAR angle estimation variance, and also provides insights on the effects of the radar parameters and the environment condition on the automotive SAR angle estimation error. We evaluate via the analytical analysis and simulation tests the radar settings and environment condition in which the automotive SAR attains a significant performance gain over the angular resolution of the short aperture physical antenna array. We show that, perhaps surprisingly, when the velocity is estimated by the radar the performance advantage of automotive SAR is realized only in limited conditions. Hence since its implementation comes with an increase in computation and system complexity as well as an increase in the detection delay it should be used carefully and selectively.

show abstract