Volume 9 Issue 5
Oct.  2020
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Article Navigation >  Journal of Radars  > 2020  >  9(5): 828-855
HE Feng, ZHANG Yongsheng, SUN Zaoyu, et al. Performance investigation on elevation cascaded digital beamforming for multidimensional waveform encoding SAR imaging[J]. Journal of Radars, 2020, 9(5): 828–855. DOI: 10.12000/JR20107
Citation: HE Feng, ZHANG Yongsheng, SUN Zaoyu, et al. Performance investigation on elevation cascaded digital beamforming for multidimensional waveform encoding SAR imaging[J]. Journal of Radars, 2020, 9(5): 828–855. DOI: 10.12000/JR20107
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Performance Investigation on Elevation Cascaded Digital Beamforming for Multidimensional Waveform Encoding SAR Imaging

DOI: 10.12000/JR20107

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

Funds:  The National Natural Science Foundation of China (61771478)
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  • Author Bio:

    HE Feng received the B.S. and Ph.D. degrees in signal processing from National University of Defense Technology, Changsha, in 1998 and 2005, respectively. From March 2015 to September 2015, he joined the scientific staff of the Technical University of Munich to work within a cooperation framework at the Microwaves and Radar Institute, German Aerospace Center (DLR), Wessling, Germany. Here as a visiting scholar, he participated in the distributed spaceborne SAR research work. He is currently a professor with the College of Electronic Science and Technology, National University of Defense Technology. His current major research interests include SAR processing, array processing, and MIMO radar system. E-mail: hefeng@nudt.edu.cn

    ZHANG Yongsheng was born in Inner Mongolia, China, in December 1977. He received the Ph.D. degrees in electronics and information engineering from National University of Defense Technology in 2007. He is currently a professor with the College of Electronic Science and Technology, National University of Defense Technology. His current major research interests include SAR system design and SAR data processing. E-mail: zhangyongsheng@nudt.edu.cn

    SUN Zaoyu was born in Hubei, China, in July 1978. He received the B.S. and Ph.D. degrees in signal processing from National University of Defense Technology, Changsha, in 2000 and 2008, respectively. He is currently a lecturer with the College of Electronic Science and Technology, National University of Defense Technology. His research interests include SAR and InSAR processing. E-mail: sunzaoyu@nudt.edu.cn

    JIN Guanghu was born in Anhui, China, in February 1980. He received the B.E., M.S. and Ph.D. degrees in signal processing from National University of Defense Technology, Changsha, in 2002, 2004 and 2009 respectively. He is currently an associate professor with the College of Electronic Science and Technology, National University of Defense Technology. His research interests include Synthetic Aperture Radar (SAR), inverse SAR, and radar target recognition. E-mail: guanghujin@nudt.edu.cn

    DONG Zhen was born in Anhui, China, in September 1973. He received the Ph.D. degree in electrical engineering from National University of Defense Technology, Changsha in 2001. He is currently a professor with the College of Electronic Science and Technology, National University of Defense Technology. His recent research interests include SAR system design and processing, Ground Moving Target Indication (GMTI), and digital beamforming. E-mail: dongzhen@nudt.edu.cn

  • Corresponding author: He Feng, hefeng@nudt.edu.cn; Dong Zhen, dongzhen@nudt.edu.cn
  • Received Date: 2020-07-23
  • Rev Recd Date: 2020-09-28
    • Available Online: 2020-10-16
  • Publish Date: 2020-10-28
    Abstract
  • An important issue in a Synthetic Aperture Radar (SAR) system employing Multidimensional Waveform Encoding (MWE) is the fulfillments of Digital BeamForming (DBF) on receive in elevation for a reliable separation of the mutually overlapped echoes from multiple transmit waveforms. In this paper, the performance of a separation approach employing hybrid DBF in elevation by combining the onboard real-time beam-steering and a posteriori null-steering DBF on the ground is elaborately investigated. As a cascaded structure which comprises two subsequent DBF networks, the onboard part effectuates the steering of the mainlobes within multiple partitioned groups of antenna elements to ensure sufficient signal receive gain over the whole swath; the a posteriori adaptive DBF network on the ground mainly performs the task of placing nulls to cancel the range interference from other transmit waveforms, which enables adaptive beamforming to avoid the topographic height variation problem. Two type of onboard realtime beamformers are investigated, depending on the utilization of the transmit waveform structure information or not. The performance of the hybrid DBF approach is theoretically analyzed and evaluated in simulation experiment. It is shown that the hybrid DBF approach can provide additional dimensions of the trade-space to optimize the performance on range ambiguity suppression and signal-to-noise ratio improvement, as well as the onboard data volume reduction. In comparison with the a posteriori DBF on the ground, employing the hybrid DBF networks can get satisfactory performance while remarkably reducing the output data volume, in the presented example, the corresponding output channel number is decreased from 10 to 6.

     

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