Title |
Photonics-based real-time ultra-high-range-resolution radar with broadband signal generation and processing
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Published in |
Scientific Reports, October 2017
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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
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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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% |