Consumer radar: Opportunities and challenges

Evans, R.J.; Farrell, Peter M.; Felic, G.; Duong, Hoa Thai; Le, Hoang Viet; Li, Jingchun; Li, M.; Moran, William; Skafidas, Efstratios

doi:10.1109/eurad.2014.6991193

Cited by 18 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5 a plot of the interference CDF with PPP geometrical model. As it is expected, the assumption of no interference guard δ o = 0 leads to an increase in the interference level 2 . The figure also shows consistency with Monte-Carlo simulations.…”

Section: B Interference Distributionsupporting

confidence: 57%

“…The deployment of these features has thus far been limited to highend vehicles because of the high cost of sensing technology such as automotive radar. However, recent advances in microelectronic technologies is creating the possibility of very low cost, high performance small radar sensors suitable for automotive applications [1], [2]. This advance will likely lead to wholesale deployment of automotive radar in all classes of vehicles.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stochastic Geometry Methods for Modeling Automotive Radar Interference

Al‐Hourani

Evans

Kandeepan

et al. 2018

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

As the use of automotive radar increases, performance limitations associated with radar-to-radar interference will become more significant. In this paper we employ tools from stochastic geometry to characterize the statistics of radar interference. Specifically, using two different models for vehicle spacial distributions, namely, a Poisson point process and a Bernoulli lattice process, we calculate for each case the interference statistics and obtain analytical expressions for the probability of successful range estimation. Our study shows that the regularity of the geometrical model appears to have limited effect on the interference statistics, and so it is possible to obtain tractable tight bounds for worst case performance. A technique is proposed for designing the duty cycle for random spectrum access which optimizes the total performance. This analytical framework is verified using Monte-Carlo simulations.

show abstract

Section: B Interference Distributionsupporting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Stochastic Geometry Methods for Modeling Automotive Radar Interference

Al‐Hourani

Evans

Kandeepan

et al. 2018

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…Currently automotive radars are limited to high-end vehicles due to development and integration costs. However, very low-cost consumer radar technology is imminent [2,3,4,5] and the global market volume of automotive radars is expected to experience a compound annual growth rate of 22.5% over the period of 2017–2023 [6]. Many spectrum management authorities have already regulated the spectrum bands around 24 GHz and 77 GHz [7] primarily for shared use by automotive radars.…”

Section: Introductionmentioning

confidence: 99%

Interference Mitigation in Automotive Radars Using Pseudo-Random Cyclic Orthogonal Sequences

Skaria

Al‐Hourani

Evans

et al. 2019

Sensors

View full text Add to dashboard Cite

The number of small sophisticated wireless sensors which share the electromagnetic spectrum is expected to grow rapidly over the next decade and interference between these sensors is anticipated to become a major challenge. In this paper we study the interference mechanisms in one such sensor, automotive radars, where our results are directly applicable to a range of other sensor situations. In particular, we study the impact of radar waveform design and the associated receiver processing on the statistics of radar–radar interference and its effects on sensing performance. We propose a novel interference mitigation approach based on pseudo-random cyclic orthogonal sequences (PRCOS), which enable sensors to rapidly learn the interference environment and avoid using frequency overlapping waveforms, which in turn results in a significant interference mitigation with analytically tractable statistical characterization. The performance of our new approach is benchmarked against the popular random stepped frequency waveform sequences (RSFWS), where both simulation and analytic results show considerable interference reduction. Furthermore, we perform experimental measurements on commercially available automotive radars to verify the proposed model and framework.

show abstract

“…The research, development and application of radar with respect to the consumer market has greatly expanded over the last 10 years [1]. This is a step change from radar traditionally being a costly technology area best suited to military, aerospace, nautical and scientific measurement areas to now being applied, more and more, to autonomous vehicles [2], smart cities [3] and personal health monitoring devices [4].…”

Section: Introductionmentioning

confidence: 99%

3D Printed Radar Lenses with Anti-Reflective Structures

Friel

Gerling-Gerdin

Nilsson

et al. 2019

Designs

View full text Add to dashboard Cite

Background: The purpose of this study was to determine if 3D printed lenses with wavelength specific anti-reflective (AR) surface structures would improve beam intensity and thus radar efficiency for a Printed Circuit Board (PCB)-based 60 GHz radar. This would have potential for improved low-cost radar lenses for the consumer product market. Methods: A hyperbolic lens was designed in 3D Computer Aided Design (CAD) software and was then modified with a wavelength specified AR structure. Electromagnetic computer simulation was performed on both the ‘smooth’ and ‘AR structure’ lenses and compared to actual 60 GHz radar measurements of 3D printed polylactic acid (PLA) lenses. Results: The simulation results showed an increase of 10% in signal intensity of the AR structure lens over the smooth lens. Actual measurement showed an 8% increase in signal of the AR structure lens over the smooth lens. Conclusions: Low cost and readily available Fused Filament Fabrication (FFF) 3D printing has been shown to be capable of printing an AR structure coated hyperbolic lens for millimeter wavelength radar applications. These 3D Printed AR structure lenses are effective in improving radar measurements over non-AR structure lenses.

show abstract

Consumer radar: Opportunities and challenges

Cited by 18 publications

References 12 publications

Stochastic Geometry Methods for Modeling Automotive Radar Interference

Stochastic Geometry Methods for Modeling Automotive Radar Interference

Interference Mitigation in Automotive Radars Using Pseudo-Random Cyclic Orthogonal Sequences

3D Printed Radar Lenses with Anti-Reflective Structures

Contact Info

Product

Resources

About