Microwave Photonic Cognitive Radar With a Subcentimeter Resolution

被引:1
作者
Zhu, Dan [1 ]
Chen, Wenjuan [2 ]
Ding, Jiewen [1 ]
Ma, Cong [1 ]
Yang, Yue [1 ]
Hu, Xiaopeng [1 ]
Pan, Shilong [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Natl Key Lab Microwave Photon, Nanjing 210016, Peoples R China
[2] Zhongxing Telecommun Equipment Corp, Shenzhen 518057, Peoples R China
基金
中国国家自然科学基金;
关键词
Microwave photonics; Radar; Cognitive radar; Optical pulses; Microwave imaging; Bandwidth; Programming; microwave photonics; photonic processing; spectrum sensing; waveform generation;
D O I
10.1109/TMTT.2024.3381601
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As the only method for all-time, all-weather, and long-distance environmental monitoring and target detection, radar is considered an essential sensor for future intelligent applications. However, electronic radars face critical challenges in terms of frequency range, bandwidth, and processing speed, leading to poor resolution, slow response, and being easy to be interfered. A microwave photonic cognitive radar with a subcentimeter resolution is reported, adaptively utilizing opportunistic spectra in a potential hundreds-of-GHz range. The concept is enabled by a photonic short-time Fourier transformation module for real-time wideband electromagnetic environmental monitoring, a photonic programmable Fourier-domain waveform synthesizer, and processor for target detection. Radar imaging is implemented over 1-40 GHz in an environment with interference signals. Both the spectra and the frequency-time characteristics are obtained for the environmental perception, and reconfigurable microwave signals are generated and processed accordingly. Using photonic dechirp processing with a 22-GHz bandwidth and an ADC with a 50-MSa/s sampling rate, the radar ranging resolution reaches 0.73 cm. This work provides an effective solution to overcome the limitations of the current radars on frequency range, bandwidth, and processing speed, which may enable all-time, all-weather sensors with ultrahigh resolution and fast response for automatic driving, security surveillance, space debris detection, etc.
引用
收藏
页码:5519 / 5529
页数:11
相关论文
共 35 条
  • [1] Cognitive Radar Framework for Target Detection and Tracking
    Bell, Kristine L.
    Baker, Christopher J.
    Smith, Graeme E.
    Johnson, Joel T.
    Rangaswamy, Muralidhar
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2015, 9 (08) : 1427 - 1439
  • [2] Microwave photonics combines two worlds
    Capmany, Jose
    Novak, Dalma
    [J]. NATURE PHOTONICS, 2007, 1 (06) : 319 - 330
  • [3] Microwave Photonic Signal Processing
    Capmany, Jose
    Mora, Jose
    Gasulla, Ivana
    Sancho, Juan
    Lloret, Juan
    Sales, Salvador
    [J]. JOURNAL OF LIGHTWAVE TECHNOLOGY, 2013, 31 (04) : 571 - 586
  • [4] Chen V. C., 2014, INVERSE SYNTHETIC AP, V55
  • [5] Photonic Generation of Wideband Chirped Microwave Waveforms
    Chi, Hao
    Wang, Chao
    Yao, Jianping
    [J]. IEEE JOURNAL OF MICROWAVES, 2021, 1 (03): : 787 - 803
  • [6] Ender J., 2015, PROC 16 INT RADAR S, P24
  • [7] Photonics for Radars Operating on Multiple Coherent Bands
    Ghelfi, Paolo
    Laghezza, Francesco
    Scotti, Filippo
    Onori, Daniel
    Bogoni, Antonella
    [J]. JOURNAL OF LIGHTWAVE TECHNOLOGY, 2016, 34 (02) : 500 - 507
  • [8] A fully photonics-based coherent radar system
    Ghelfi, Paolo
    Laghezza, Francesco
    Scotti, Filippo
    Serafino, Giovanni
    Capria, Amerigo
    Pinna, Sergio
    Onori, Daniel
    Porzi, Claudio
    Scaffardi, Mirco
    Malacarne, Antonio
    Vercesi, Valeria
    Lazzeri, Emma
    Berizzi, Fabrizio
    Bogoni, Antonella
    [J]. NATURE, 2014, 507 (7492) : 341 - 345
  • [9] Cognitive Radars: On the Road to Reality Progress thus far and possibilities for the future
    Greco, Maria S.
    Gini, Fulvio
    Stinco, Pietro
    Bell, Kristine
    [J]. IEEE SIGNAL PROCESSING MAGAZINE, 2018, 35 (04) : 112 - 125
  • [10] Cognitive Radar: A Knowledge-Aided Fully Adaptive Approach
    Guerci, J. R.
    [J]. 2010 IEEE RADAR CONFERENCE, 2010, : 1365 - 1370