SAR Imaging with Automotive Radar: Range Migration Algorithm, Experiment, and Future Directions in Automotive Vehicle

S, Sriharsha Nag T; S, Vandana G; Pardhasaradhi, Bethi; Srihari, Pathipati

doi:10.1109/icraie56454.2022.10054316

Cited by 9 publications

(2 citation statements)

References 20 publications

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“…The upper millimeter(mm) wave frequency band (52.6GHz-114.25GHz) [56] has been allotted for fine-resolution image sensing and also supports large throughput-based wireless communications [5]. synthetic aperture radar (SAR) based imaging emerged as one of the prominent solutions in mmwave frequency for on-road automotive vehicle driving and parking [57]. For example, Google has introduced a project Soli, which performs accurate human gesture detection by utilizing 60GHz millimeter wave radar [58], [59].…”

Section: ) Imaging and Communication Systemsmentioning

confidence: 99%

A Survey on Waveform Design for Radar-Communication Convergence

Chakravarthi Mahipathi,

Pardhasaradhi,

Lingadevaru

et al. 2024

IEEE Access

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To provide service to an abundant number of communication users and to avoid the spectrum scarcity problem, many researchers are fascinated to work towards the convergence of radar sensing and communication systems. In addition, future intelligent systems like autonomous vehicles, Vehicleto-everything (V2X), Unmanned Aerial Vehicles (UAV), and all smart systems are going to implement both radar and communication systems on the same platform, which motivates the researchers to focus on the development of Joint Radar-Communication Systems (JRCS). Cooperative Radar-Communication System (CRCS) and Dual Functional Radar Communication (DFRC) systems provide an opportunity for communication users to utilize radar resources without disturbing radar operation. Waveform design is essential in the development of new models and designs related to joint radar-sensing and communication systems. A cooperative radar communication system uses separate waveforms for both radar and communication systems. Whereas the DFRC system uses the same waveform for both radar and communication operations. So to model both joint radar communication systems one should have a clear idea regarding waveform design and its approaches. Therefore, in this review paper, we focused on different waveform design approaches for modeling CRCS and DFRC systems. In addition, the prime objective of this review paper is to give a detailed view of the existing cooperative and dual-function waveform design approaches and provide a kick-start for new learners to work on this area.

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Section: ) Imaging and Communication Systemsmentioning

confidence: 99%

A Survey on Waveform Design for Radar-Communication Convergence

Chakravarthi Mahipathi,

Pardhasaradhi,

Lingadevaru

et al. 2024

IEEE Access

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show abstract

“…However, the angular resolution of radar images using a limited number of antennas may not be sufficient to meet the requirements of automotive applications. To address this issue, synthetic aperture radar (SAR) is a promising technique that can be used [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Combining MIMO DBF With Automotive Synthetic Aperture Radar Imaging and Phase Error Correction

Farhadi,

Feger,

Fink

et al. 2024

IEEE Access

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Automotive radar systems face challenges in generating high-resolution images that are essential for advancing autonomous driving technology. One promising solution to improve the angle resolution of radar images is the synthetic aperture radar (SAR) technique. However, achieving satisfactory SAR images involves overcoming difficulties such as high computational burden and accurate platform location determination. To address these challenges, we propose an innovative approach that integrates SAR imaging with digital beamforming (DBF) and multiple input multiple output (MIMO) techniques. The proposed approach significantly reduces the computational time required for SAR image formation and demonstrates superior phase error suppression compared to conventional methods. Our implemented algorithm reduces the number of radar samples and imaging complexity by up to a factor of 10 without compromising resolution and image quality. Furthermore, our proposed angle variant phase correction method can be used in challenging automotive scenarios to efficiently mitigate the effects of platform position inaccuracies and undesirable motions. Through simulations and practical experiments, we present promising results to highlight the advantages of combining real and synthetic apertures for radar imaging and phase error correction.

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Real-time Radar Imaging with Time Domain Correlation and Doppler Beam Sharpening

Kumar,

et al. 2024

2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

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SAR Imaging with Automotive Radar: Range Migration Algorithm, Experiment, and Future Directions in Automotive Vehicle

Cited by 9 publications

References 20 publications

A Survey on Waveform Design for Radar-Communication Convergence

A Survey on Waveform Design for Radar-Communication Convergence

Combining MIMO DBF With Automotive Synthetic Aperture Radar Imaging and Phase Error Correction

Real-time Radar Imaging with Time Domain Correlation and Doppler Beam Sharpening

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