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Volume 43 Issue 2
Feb.  2021
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Jinming CHEN, Tong WANG, Jianxin WU, Xiaoyu LIU. Airborne Distributed Coherent Aperture Radar Synchronization Error Calibration Method Based on Prominent Points[J]. Journal of Electronics & Information Technology, 2021, 43(2): 356-363. doi: 10.11999/JEIT190694
Citation: Jinming CHEN, Tong WANG, Jianxin WU, Xiaoyu LIU. Airborne Distributed Coherent Aperture Radar Synchronization Error Calibration Method Based on Prominent Points[J]. Journal of Electronics & Information Technology, 2021, 43(2): 356-363. doi: 10.11999/JEIT190694

Airborne Distributed Coherent Aperture Radar Synchronization Error Calibration Method Based on Prominent Points

doi: 10.11999/JEIT190694
Funds:  The Fundamental Research Funds for the Central Universities (JB190203)
  • Received Date: 2019-09-26
  • Rev Recd Date: 2020-08-19
  • Available Online: 2020-12-09
  • Publish Date: 2021-02-23
  • Airborne Distributed Coherent Aperture Radar (DCAR) has the advantages of wide observation range, high maneuverability and flexible deployment. However, airborne DCAR is confronted with more stringent time, space and phase synchronization requirements. Therefore, an airborne DCAR signal model and its matrix representation based on Slow-Time Code Division Multiple Access (ST-CDMA) waveform are established successively. Moreover, the influence on target coherence synthesis resulted from time, space and phase synchronization errors is analyzed in detail, and a novel airborne DCAR synchronization error calibration method based on prominent points is proposed. This method utilizes the target parameter search strategy to eliminate the grid mismatch filtering firstly. Then, with the utilization of estimation approaches based on target model or repeater station model, the unit platform position error is calibrated. Finally, equivalent amplitude and phase errors are calibrated by Eigen structure methods. The validity of the proposed method to calibrate the airborne DCAR synchronization error is demonstrated by simulation experiments.

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