Scholarlink

<p>In radar systems, element gain-phase errors can degrade the performance of space–time adaptive processing (STAP), and even cause complete failure. To address this issue, the STAP with the coprime sampling structure based on optimal singular value thresholding is proposed. The algorithm corrects errors by adding four calibrated auxiliary elements and auxiliary pulses to the original array and pulse sequence, while maintaining the coprime sampling structure. The corrected virtual clutter covariance matrix (CCM) is then expanded and filled with holes. Subsequently, the optimal singular value thresholding method is used to restore the CCM. Simulation results demonstrate that the proposed algorithm shows advantages in convergence speed, detection probability, and stability.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月2日

查看全文
  • Mingxin Liu,
  • Mingfu Li,
  • Hui Li,
  • Yan Cheng

摘要

In radar systems, element gain-phase errors can degrade the performance of space–time adaptive processing (STAP), and even cause complete failure. To address this issue, the STAP with the coprime sampling structure based on optimal singular value thresholding is proposed. The algorithm corrects errors by adding four calibrated auxiliary elements and auxiliary pulses to the original array and pulse sequence, while maintaining the coprime sampling structure. The corrected virtual clutter covariance matrix (CCM) is then expanded and filled with holes. Subsequently, the optimal singular value thresholding method is used to restore the CCM. Simulation results demonstrate that the proposed algorithm shows advantages in convergence speed, detection probability, and stability.