Volume 13 Issue 6
Dec.  2024
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Article Navigation >  Journal of Radars  > 2024  >  13(6): 1279-1297
WANG Yuanhao, WANG Hongqiang, and YANG Qi. Coherent detection method for moving platform based distributed aperture radar and experimental verification[J]. Journal of Radars, 2024, 13(6): 1279–1297. doi: 10.12000/JR24141
Citation: WANG Yuanhao, WANG Hongqiang, and YANG Qi. Coherent detection method for moving platform based distributed aperture radar and experimental verification[J]. Journal of Radars, 2024, 13(6): 1279–1297. doi: 10.12000/JR24141
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Coherent Detection Method for Moving Platform Based Distributed Aperture Radar and Experimental Verification

DOI: 10.12000/JR24141

  • College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds:  The National Key Research and Development Program of China (2022YFB3902400), The National Natural Science Foundation of China (62201591, 61921001, 62105363, 62035014)
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  • Corresponding author: WANG Hongqiang, oliverwhq@tom.com
  • Received Date: 2024-07-08
  • Rev Recd Date: 2024-09-04
    • Available Online: 2024-09-11
  • Publish Date: 2024-09-30
    Abstract
  • As one of the most promising next-generation radars, Moving platform based Distributed Aperture Radar (MDAR) cannot only coherently combining distributed apertures to obtain the same detection performance of a large aperture, but also enhance the detection and anti-damage capabilities through mobility and flexible deployment. However, time and phase synchronization among radars should be done before coherently combining due to internal clock differences and external propagation path differences. Moreover, grating lobes will generate as the distance between multiple radars usually exceeds half a wavelength, which affects the estimation accuracy of target angle. To obtain Coherent Parameters (CPs), this paper established a cognitive framework for MDAR based on closed-loop structure. And a multi-pulse correlation CPs estimation method considering motion conditions is proposed to improve estimation accuracy. In the meanwhile, an unambiguous angle estimation method based on array configuration accumulation is proposed considering platform motion characteristics. Finally, based on the simulation verification and the proposed framework, a prototype of a 3-node ground Moving platform based Distributed Coherent Aperture Radar (MDCAR) system is designed and experiments are conducted. Compared to a single radar, a maximum value of 14.2 dB signal-to-noise ratio improvement can be achieved, which can further enhance range detection accuracy. Besides, unambiguous angle estimation is also realized under certain conditions. This work is expected to provide support for the research and development of MDCAR.

     

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