Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (11): 3612-3625.doi: 10.12305/j.issn.1001-506X.2025.11.10

• Sensors and Signal Processing • Previous Articles    

MIAA based three-dimensional millimeter-wave imaging algorithm with sparse trajectory scanning

Ruixiang FANG1,2(), Xiaojin SHI1,*, Yunhua ZHANG1,2   

  1. 1. National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China
    2. School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China
  • Received:2025-05-12 Accepted:2025-07-07 Online:2025-11-25 Published:2025-12-08
  • Contact: Xiaojin SHI E-mail:fangruixiang24@mails.ucas.ac.cn

Abstract:

The use of sparse trajectory scanning can significantly reduce the scanning time of synthetic aperture radar millimeter-wave three-dimensional imaging, yet it can cause the absence of a large amount of data for the entire row or column, resulting in degradation of imaging quality. To address this problem, a millimeter wave sparse trajectory scanning three-dimensional imaging algorithm based on missing-data iterative adaptive approach (MIAA) is proposed. Firstly, the sparse characteristic of radar echo signal in a single scanning direction after azimuth compression is analyzed. Subsequently, the azimuth compression process is characterised as a sparse basis matrix embedded in MIAA algorithm, which recovers the missing-data matrix row-by-row or column-by-column. Finally, the complete data is used to reconstruct three-dimensional image. The experimental results show that up to 30% of fully sampled data obtained from sparse trajectory scanning, the proposed algorithm achieves better imaging results than existing algorithms.

Key words: millimeter-wave radar, three-dimensional imaging, sparse imaging, iterative adaptive approach

CLC Number: 

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