Requirements for next generation automotive radars

Murad, Mohannad; Bilik, Igal; Friesen, Matthew; Nickolaou, Jim; Salinger, Jeremy; Geary, Kevin; Colburn, J.S.

doi:10.1109/radar.2013.6586127

Cited by 55 publications

(21 citation statements)

References 5 publications

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“…This is due to its superior capabilities in harsh environments and under low lighting conditions, where cameras and other vision-based sensors usually fail to operate. However, the design of a radar system for a particular application is often subject to some practical constraints and trade-offs between different system parameters [1]. For instance, the bandwidth is inversely proportional to both the range resolution and the maximum unambiguous detectable range.…”

Section: Introductionmentioning

confidence: 99%

An Adversarial Super-Resolution Remedy for Radar Design Trade-offs

Armanious

Abdulatif

Aziz

et al. 2019

2019 27th European Signal Processing Conference (EUSIPCO)

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Radar is of vital importance in many fields, such as autonomous driving, safety and surveillance applications. However, it suffers from stringent constraints on its design parametrization leading to multiple trade-offs. For example, the bandwidth in FMCW radars is inversely proportional with both the maximum unambiguous range and range resolution. In this work, we introduce a new method for circumventing radar design trade-offs. We propose the use of recent advances in computer vision, more specifically generative adversarial networks (GANs), to enhance low-resolution radar acquisitions into higher resolution counterparts while maintaining the advantages of the low-resolution parametrization. The capability of the proposed method was evaluated on the velocity resolution and rangeazimuth trade-offs in micro-Doppler signatures and FMCW uniform linear array (ULA) radars, respectively.

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Section: Introductionmentioning

confidence: 99%

An Adversarial Super-Resolution Remedy for Radar Design Trade-offs

Armanious

Abdulatif

Aziz

et al. 2019

2019 27th European Signal Processing Conference (EUSIPCO)

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“…The minimum detection range should be 0.2m, which both of the two modes can easily achieve [2]. For the maximum range, the MRR should be at least 75m, while required by the BSD function, the SRR need a distance of 15m on vehicles.…”

Section: Radar Requirementsmentioning

confidence: 99%

“…The detection angle is also a fundamental parameter. The MRR requires a ±12.5deg, however, the SRR, especially the BSD and DOW function, needs the azimuth angle to cover ±70 deg [2]. The elevation plane should have a narrow beam width and also the side lobe level should be lower, which avoiding the interference.…”

Section: Radar Requirementsmentioning

confidence: 99%

“…For the value of length, it can be expressed as, (2) where λ g is the medium wavelength derived by, (3) where ɛ e is the effective dielectric constant of the substrate calculated as, (4) where W is the width of the RMSA, h is the thickness of the RO4350 substrate and set as 0.254mm. The ΔL of the equation (2) is given by, (5) From all the equations (1), (2), (3), (4), (5), we can get a preliminary value of L at 3.1648mm, the ɛ e value is 3.3359 and the λ g is 6.8084mm, respectively.…”

Section: Antenna Designmentioning

confidence: 99%

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A Multi-Function Automotive MM-Wave Radar Design

Wang

et al. 2016

SAE Technical Paper Series

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A 24GHz multi-function assist system has been developed for advanced automotive radar, which includes different applications in Blind Spot Detection (BSD), Lane Change Assist (LCA), Doors Open Warning (DOW) and Rear Cross Traffic Alert (RCTA). The multi-function radar is based on the micro-strip antenna, which has a reasonable design on main-lobe and side-lobes. According the antenna, the radar can operate in mid-range mode with a high gain and a narrow beam width, whilst performing well in short-range and wide-angle mode.

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“…challenge for the Auto-radar imaging is its range and angular resolution, especially when the targets start manoeuvring (e.g., changing lanes, etc) at short ranges (0.15 -30 m) [5], [6]. Range resolution is primarily a function of transmit signal bandwidth, which can be increased to acquire desired results.…”

mentioning

confidence: 99%

Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

Gishkori

Daniel

Gashinova

et al. 2019

IEEE Trans. Aerosp. Electron. Syst.

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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: i) a modified back-projection algorithm, and ii) a compressed sensing based back-projection 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.

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Requirements for next generation automotive radars

Cited by 55 publications

References 5 publications

An Adversarial Super-Resolution Remedy for Radar Design Trade-offs

An Adversarial Super-Resolution Remedy for Radar Design Trade-offs

A Multi-Function Automotive MM-Wave Radar Design

Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

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