A stepped-carrier 77-GHz OFDM MIMO radar system with 4 GHz bandwidth

Pfeffer, Clemens; Feger, Reinhard; Stelzer, Andreas

doi:10.1109/eurad.2015.7346246

Cited by 36 publications

(16 citation statements)

References 11 publications

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“…d) If the target reflectivity observed on the two antennas is approximately the same (i.e., if a 0 ∼ = a 1 ), an estimate of it can be computed as (see eqs. (40) and ( 61))…”

Section: A a Case Studymentioning

confidence: 94%

“…These include the frequency modulated continuous wave (FMCW) technique [37] (also known as chirp signal modulation) and the stepped frequency continuous wave (SFCW) technique [38]. In the last years, considerable attention has been also paid to the use of the OFDM technique [39], [40] and to the phase modulated continuous wave (PMCW) technique [41].…”

Section: B a Brief History Of The Colocated Mimo Radar Technologymentioning

confidence: 99%

See 1 more Smart Citation

Machine Learning and Deep Learning Techniques for Colocated MIMO Radars: A Tutorial Overview

DAVOLI¹,

Guerzoni²,

Vitetta³

2021

Preprint

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<p>Radars are expected to become the main sensors in various civilian applications, ranging from health-care monitoring to autonomous driving. Their success is mainly due to the availability of both low cost integrated devices, equipped with compact antenna arrays, and computationally efficient signal processing techniques. An increasingly important role in the field of radar signal processing is played by machine learning and deep learning techniques. Their use has been first taken into consideration in human gesture and motion recognition, and in various healthcare applications. More recently, their exploitation in object detection and localization has been also investigated. The research work accomplished in these areas has raised various technical problems that need to be carefully addressed before adopting the above mentioned techniques in real world radar systems. In this manuscript, a comprehensive overview of the machine learning and deep learning techniques currently being considered for their use in radar systems is provided. Moreover, some relevant open problems and current trends in this research area are analysed. Finally, various numerical results, based on both synthetically generated and experimental datasets, and referring to two different applications are illustrated. These allow readers to assess the efficacy of specific methods and to compare them in terms of accuracy and computational effort.</p>

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“…d) If the target reflectivity observed on the two antennas is approximately the same (i.e., if a 0 ∼ = a 1 ), an estimate of it can be computed as (see eqs. (40) and ( 61))…”

Section: A a Case Studymentioning

confidence: 94%

Section: B a Brief History Of The Colocated Mimo Radar Technologymentioning

confidence: 99%

Machine Learning and Deep Learning Techniques for Colocated MIMO Radars: A Tutorial Overview

DAVOLI¹,

Guerzoni²,

Vitetta³

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Since such hardware is expensive and hard to realize, only a fraction of the required bandwidth is achievable with reasonable effort, making it unusable for automotive applications as the range resolution would not meet the requirements. A solution is to use a smaller bandwidth that is realizable with low-cost hardware and to regain the full resolution of the large RF bandwidth by using different carrier frequencies in a single frame and applying suitable signal post-processing [64][65][66].…”

Section: Multiplexingmentioning

confidence: 99%

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Roos¹,

Bechter²,

Knill³

et al. 2019

IEEE Microwave

143

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“…With such a system arbitrary digital modulation schemes can be evaluated on a single hardware and a realistic comparison of the results can be done. Previous work on such a platform, especially for OFDM, often used a stepped-carrier method, where a baseband signal with a low bandwidth is converted up using a carrier signal that is increasing in frequency in a stepwise fashion to synthetically increase the system's bandwidth [6,7]. However, the recent advances in broadband ADCs allow building platforms with higher modulation bandwidth in order to cover a significant part of the automotive band with just a single carrier frequency [8].…”

Section: Introductionmentioning

confidence: 99%

A SiGe transceiver chipset for automotive radar applications using wideband modulation sequences

Schoepfel

Kueppers

Aufinger

et al. 2019

Int. J. Microw. Wireless Technol.

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This paper presents a W-band MIMO radar transceiver chipset for automotive applications, based on a Silicon Germanium technology. It consists of a reference VCO, operating at a center frequency of 38 GHz and a companion IC that comprises a complete millimeter-wave transceiver at 76 GHz. This chipset enables building multipurpose MIMO radar systems that can be scaled in terms of transmitter and receiver count. What makes this system innovative is the fact that it is able to handle more broadband signals than systems presented in current literature and is furthermore not limited to one modulation scheme. The chipset is capable of transmitting and receiving any signal waveform. The main goal of this work was to create a functional version of a VCO and a one-channel transceiver MMIC. Furthermore a demonstrator for a proof of concept was designed to test the MMICs on a system level. The realized VCO MMIC achieves a tuning frequency range of 6 GHz with a center frequency of 38 GHz and consumes 152 mW from a 3.3 V supply. The transceiver MMIC is fully functional and achieves a saturated output power of 11.5 dBm while drawing 670 mW from a 3.3 V supply.

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A stepped-carrier 77-GHz OFDM MIMO radar system with 4 GHz bandwidth

Cited by 36 publications

References 11 publications

Machine Learning and Deep Learning Techniques for Colocated MIMO Radars: A Tutorial Overview

Machine Learning and Deep Learning Techniques for Colocated MIMO Radars: A Tutorial Overview

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

A SiGe transceiver chipset for automotive radar applications using wideband modulation sequences

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