DOAJ Open Access 2017

Joint-2D-SL0 Algorithm for Joint Sparse Matrix Reconstruction

Dong Zhang Yongshun Zhang Cunqian Feng

Abstrak

Sparse matrix reconstruction has a wide application such as DOA estimation and STAP. However, its performance is usually restricted by the grid mismatch problem. In this paper, we revise the sparse matrix reconstruction model and propose the joint sparse matrix reconstruction model based on one-order Taylor expansion. And it can overcome the grid mismatch problem. Then, we put forward the Joint-2D-SL0 algorithm which can solve the joint sparse matrix reconstruction problem efficiently. Compared with the Kronecker compressive sensing method, our proposed method has a higher computational efficiency and acceptable reconstruction accuracy. Finally, simulation results validate the superiority of the proposed method.

Topik & Kata Kunci

Electrical engineering. Electronics. Nuclear engineering Cellular telephone services industry. Wireless telephone industry

Penulis (3)

Dong Zhang

Yongshun Zhang

Cunqian Feng

Format Sitasi

APA MLA BibTeX

Zhang, D., Zhang, Y., Feng, C. (2017). Joint-2D-SL0 Algorithm for Joint Sparse Matrix Reconstruction. https://doi.org/10.1155/2017/6862852

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →

Lihat di Sumber doi.org/10.1155/2017/6862852

Informasi Jurnal

Tahun Terbit: 2017
Sumber Database: DOAJ
DOI: 10.1155/2017/6862852
Akses: Open Access ✓