Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (6): 1846-1853.doi: 10.12305/j.issn.1001-506X.2022.06.10

• Sensors and Signal Processing • Previous Articles     Next Articles

Time-varying narrow-band interference suppression algorithm for SAR based on graph Laplacian embedding

Dongning FU1, Guisheng LIAO1, Yan HUANG2,*, Bangjie ZHANG2, Xing WANG1   

  1. 1. National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China
    2. State Key Lab of Millimeter Waves, Southeast University, Nanjing 210096, China
  • Received:2020-12-23 Online:2022-05-30 Published:2022-05-30
  • Contact: Yan HUANG

Abstract:

As a wideband radar system, the synthetic aperture radar (SAR) usually conflicts with other electromagnetic systems working in the same frequency bands. These signals, most of which are narrow-band interference (NBI) for SAR systems, severely interfere SAR systems to generate a high-resolution image. Many previous research results focused on the NBI suppression problem, however, few of them noticed that the NBIs may be time-varying in a local region among different pulses, which restricts the suppression performance of some classic methods. Hence, in this paper, a graph Laplacian embedding (GLE) algorithm is proposed to suppress NBIs by constructing the Laplacian embedding connections between different pulses of signals. As a result, locally time-varying interferences are embedded in a non-linear low-dimensional manifold and can be effectively mitigated. The real SAR data measured with NBI are processed, and the results show the efficiency of the proposed algorithm.

Key words: synthetic aperture radar (SAR), narrow-band interference (NBI) suppression, graph Laplacian embedding (GLE)

CLC Number: 

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