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Sparsity-aware space-time adaptive processing algorithms with L1-norm regularisation for airborne ra
  • ISSN号：1751-9675
  • 期刊名称：IET Signal Processing
  • 时间：2012
  • 页码：413-423
  • 相关项目：非均匀杂波环境下基于稀疏恢复的空时自适应处理
作者： Yang, Z.|De Lamare, R.C.|Li, X.|
同期刊论文项目
非均匀杂波环境下基于稀疏恢复的空时自适应处理
期刊论文 14 会议论文 4 获奖 1
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Parameter Estimation of Radar Targets with Macro-Motion and Micro-Motion Based on Circular Correlati
Imaging and micro-Doppler analysis of vibrating target in multi-input-multi-output synthetic apertur
L1-regularized STAP algorithms with a generalized sidelobe canceler architecture for airborne radar
Space-time adaptive processing based on weighted regularized sparse recovery
Performance analysis of stap algorithms based on fast sparse recovery techniques
基于空时功率谱稀疏性的空时自适应处理技术研究进展
Micro-motion frequency estimation of radar targets with complicated translations
Knowledge-aided STAP using low rank and geometry properties
Direct Data Domain Sparsity-Based STAP Utilizing Subaperture Smoothing Techniques