Abstract
In wide-area surveillance radar systems, ground moving target indication is the main task. The underlying mathematical problem is to decompose a complex matrix into a low rank matrix and a structured sparse matrix. In this paper, we show that such decomposition has a unique solution under reasonable assumptions. We propose a phase-based model to fully describe the special sparse structure. An alternating direction method of multipliers is implemented to solve the resulting nonconvex complex matrix problem. Simulation results verify the superior efficiency and the improvement of the new model.
| Original language | English |
|---|---|
| Pages (from-to) | 297-312 |
| Number of pages | 16 |
| Journal | Journal of Optimization Theory and Applications |
| Volume | 173 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Apr 2017 |
Keywords
- Alternating direction method
- Ground moving target indication
- Robust principal component analysis
- Surveillance radar system
Fingerprint
Dive into the research topics of 'Unique Decomposition and a New Model for the Ground Moving Target Indication Problem'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver