↓ Skip to main content

Photonics-based real-time ultra-high-range-resolution radar with broadband signal generation and processing

Overview of attention for article published in Scientific Reports, October 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
2 news outlets
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
116 Dimensions

Readers on

mendeley
48 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Photonics-based real-time ultra-high-range-resolution radar with broadband signal generation and processing
Published in
Scientific Reports, October 2017
DOI 10.1038/s41598-017-14306-y
Pubmed ID
Authors

Fangzheng Zhang, Qingshui Guo, Shilong Pan

Abstract

Real-time and high-resolution target detection is highly desirable in modern radar applications. Electronic techniques have encountered grave difficulties in the development of such radars, which strictly rely on a large instantaneous bandwidth. In this article, a photonics-based real-time high-range-resolution radar is proposed with optical generation and processing of broadband linear frequency modulation (LFM) signals. A broadband LFM signal is generated in the transmitter by photonic frequency quadrupling, and the received echo is de-chirped to a low frequency signal by photonic frequency mixing. The system can operate at a high frequency and a large bandwidth while enabling real-time processing by low-speed analog-to-digital conversion and digital signal processing. A conceptual radar is established. Real-time processing of an 8-GHz LFM signal is achieved with a sampling rate of 500 MSa/s. Accurate distance measurement is implemented with a maximum error of 4 mm within a range of ~3.5 meters. Detection of two targets is demonstrated with a range-resolution as high as 1.875 cm. We believe the proposed radar architecture is a reliable solution to overcome the limitations of current radar on operation bandwidth and processing speed, and it is hopefully to be used in future radars for real-time and high-resolution target detection and imaging.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Student > Master 6 13%
Professor > Associate Professor 4 8%
Professor 1 2%
Student > Doctoral Student 1 2%
Other 2 4%
Unknown 20 42%
Readers by discipline Count As %
Engineering 13 27%
Physics and Astronomy 9 19%
Computer Science 2 4%
Agricultural and Biological Sciences 1 2%
Economics, Econometrics and Finance 1 2%
Other 0 0%
Unknown 22 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2020.
All research outputs
#1,349,116
of 24,132,754 outputs
Outputs from Scientific Reports
#13,078
of 131,202 outputs
Outputs of similar age
#28,480
of 331,932 outputs
Outputs of similar age from Scientific Reports
#474
of 4,712 outputs
Altmetric has tracked 24,132,754 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 131,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,932 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 4,712 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.