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Robust STAP with coprime sampling structure based on optimal singular value thresholding.

Mingxin Liu1,2,3, Mingfu Li4,5, Hui Li4

  • 1School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731, China. lmx0951@163.com.

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Summary
This summary is machine-generated.

This study introduces a novel Space-Time Adaptive Processing (STAP) method using coprime sampling and optimal singular value thresholding to correct element gain-phase errors. The enhanced algorithm improves radar system performance, offering faster convergence and greater stability.

Keywords:
Clutter covariance matrixCoprime sampling structureGain-phase errorsSpace time adaptive processing

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Electromagnetics

Background:

  • Element gain-phase errors significantly degrade Space-Time Adaptive Processing (STAP) performance in radar systems.
  • These errors can lead to the complete failure of STAP, necessitating robust correction methods.

Purpose of the Study:

  • To propose a novel STAP algorithm that effectively corrects element gain-phase errors.
  • To enhance the reliability and performance of radar systems operating with coprime sampling structures.

Main Methods:

  • The proposed algorithm incorporates calibrated auxiliary elements and pulses into the original array and pulse sequence.
  • It maintains the coprime sampling structure while correcting errors.
  • The virtual clutter covariance matrix (CCM) is expanded, filled, and restored using optimal singular value thresholding.

Main Results:

  • The algorithm successfully corrects element gain-phase errors in STAP.
  • Simulation results indicate improved convergence speed compared to existing methods.
  • Enhanced detection probability and system stability were observed.

Conclusions:

  • The proposed STAP algorithm effectively mitigates element gain-phase errors.
  • This method offers significant advantages in convergence speed, detection probability, and stability for radar systems.
  • It provides a robust solution for maintaining STAP performance under error conditions.