Volume 45 Issue 11
Nov.  2019
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Article Contents
WANG Bo, XIE Junwei, ZHANG Jing, et al. FDA platform external interference suppression based on SD-LCMV algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11): 2247-2256. doi: 10.13700/j.bh.1001-5965.2019.0140(in Chinese)
Citation: WANG Bo, XIE Junwei, ZHANG Jing, et al. FDA platform external interference suppression based on SD-LCMV algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11): 2247-2256. doi: 10.13700/j.bh.1001-5965.2019.0140(in Chinese)

FDA platform external interference suppression based on SD-LCMV algorithm

doi: 10.13700/j.bh.1001-5965.2019.0140
Funds:

National Natural Science Foundation of China 61503408

More Information
  • Corresponding author: XIE Junwei, E-mail: xjw_xjw_123@163.com
  • Received Date: 01 Apr 2019
  • Accepted Date: 28 Jun 2019
  • Publish Date: 20 Nov 2019
  • In the process of suppressing the interference which is close to the target position, minimum variance distortionless response (MVDR) beamformer will have the mainlobe distortion problem with mismatched steering vector or larger number of elements. We use the overlapping subarray-based sin-FDA as the receiving array instead of the uniform linear array frequency diverse array (ULA-FDA). The weighted vector of the mismatched steering vector is solved by the steepest descent linear constrained minimum variance (SD-LCMV) algorithm, which can effectively correct and preserve the mainlobe of the beampattern. Simulation verifies that the overlapping subarray-based sin-FDA has the best mainlobe width and low sidelobe characteristics. When there is a pointing error of 2°, the steering vecter of the overlapping subarray-based sin-FDA can be corrected and the shape of the mainlobe can be corrected while effectively suppressing the interference.

     

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