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Chin. Opt. Lett.
 Home  List of Issues    Issue 06 , Vol. 16 , 2018    10.3788/COL201816.062801

Ultra-high range resolution demonstration of a photonics-based microwave radar using a high-repetition-rate mode-locked fiber laser
Shaofu Xu, Weiwen Zou, Guang Yang, Jianping Chen
State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Institute for Advanced Communication and Data Science, Department of Electronic Engineering, [Shanghai Jiao Tong University], Shanghai 200240, China

Chin. Opt. Lett., 2018, 16(06): pp.062801

Topic:Remote sensing and sensors
Keywords(OCIS Code): 280.5600  250.0250  140.4050  000.2170  

We experimentally demonstrate the ultra-high range resolution of a photonics-based microwave radar using a high repetition rate actively mode-locked laser (AMLL). The transmitted signal and sampling clock in the radar originate from the same AMLL to achieve a large instantaneous bandwidth. A Ka band linearly frequency modulated signal with a bandwidth up to 8 GHz is successfully generated and processed with the electro-optical upconversion and direct photonic sampling. The minor lobe suppression (MLS) algorithm is adopted to enhance the dynamic range at a cost of the range resolution. Two-target discrimination with the MLS algorithm proves the range resolution reaches 2.8 cm. The AMLL-based microwave-photonics radar shows promising applications in high-resolution imaging radars having the features of high-frequency band and large bandwidth.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Posted online:2018/5/25

Get Citation: Shaofu Xu, Weiwen Zou, Guang Yang, Jianping Chen, "Ultra-high range resolution demonstration of a photonics-based microwave radar using a high-repetition-rate mode-locked fiber laser," Chin. Opt. Lett. 16(06), 062801(2018)

Note: This work was partially supported by the National Natural Science Foundation of China (Nos. 61571292 and 61535006), by the State Key Lab Project of Shanghai Jiao Tong University (No. 2014ZZ03016) and by STCSM.


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