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Design and Optimization of SAR Signal Array Receiving Based on MOEA/D-HPSO.

Zhiyang Zhang1, Hongji Xing1, Ximing Yu1

  • 1School of Space Information, Space Engineering University, Beijing 101416, China.

Sensors (Basel, Switzerland)
|June 26, 2026
PubMed
Summary

This study introduces a novel non-uniform planar array design for spaceborne synthetic aperture radar (SAR) signal reception. The new method optimizes beamforming for wide-angle scanning, improving performance over traditional uniform arrays.

Keywords:
Pareto frontarray pattern synthesismulti-objective optimizationnon-uniform planar arrayspaceborne SARwide-angle scanning

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Area of Science:

  • Electromagnetics and Signal Processing
  • Antenna Array Design

Background:

  • Passive reception of spaceborne synthetic aperture radar (SAR) signals is crucial for target characteristic acquisition and operational state identification.
  • Traditional uniform arrays face challenges in beamforming and performance degradation during wide-angle scanning, failing to meet engineering demands.
  • Existing methods struggle to balance conflicting performance indicators like maximum sidelobe level (MSL), array gain (G), and beamwidth (BW).

Purpose of the Study:

  • To propose an advanced design method for non-uniform planar receiving arrays for spaceborne SAR systems.
  • To address the limitations of traditional arrays in wide-angle scanning scenarios.
  • To optimize key performance indicators including MSL, G, and BW for enhanced SAR signal reception.

Main Methods:

  • Development of a multi-objective optimization model for SAR signal-receiving arrays, focusing on wide-angle scanning.
  • Integration of a multi-objective decomposition strategy with a hybrid genetic particle swarm optimization (MOEA/D-HPSO) algorithm.
  • Decomposition of complex multi-objective problems into scalar subproblems to achieve uniformly distributed Pareto fronts and improve solution diversity.

Main Results:

  • The proposed MOEA/D-HPSO algorithm demonstrates superior convergence accuracy and solution set distribution compared to NSGA-II and MOEA/D-DE.
  • The non-uniform array design effectively optimizes MSL, G, and BW for wide-angle SAR signal reception.
  • Simulation results validate the algorithm's effectiveness and its advantage over conventional methods.

Conclusions:

  • The proposed non-uniform planar array design method offers a robust solution for spaceborne SAR signal reception challenges.
  • The MOEA/D-HPSO algorithm provides enhanced performance and adaptability for various engineering applications.
  • This research supports advancements in spaceborne SAR signal reception and spectrum management.