We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Sparse Recovery for Bistatic MIMO Radar Imaging in the Presence of Array Gain Uncertainties.
- Authors
Jun Li; Shengqi Zhu; Xixi Chen; Li Lv; Guisheng Liao; Menglei Yi
- Abstract
A sparse recovery based transmit-receive angle imaging scheme is proposed for bistatic multiple-input multiple-output (MIMO) radar. The redundancy of the transmit and receive angles in the same range cell is exploited to construct the sparse model. The imaging is then performed by compressive sensing method with consideration of both the transmit and receive array gain uncertainties. An additional constraint is imposed on the inverse of the transmit and receive array gain errors matrices to make the optimization problem of the CS solvable. The image of the targets can be reconstructed using small number of snapshots in the case of large array gain uncertainties. Simulation results confirm the effectiveness of the proposed scheme.
- Subjects
MIMO radar; COMPRESSED sensing; MATHEMATICAL optimization; UNCERTAINTY; RADAR; ANTENNAS (Electronics)
- Publication
International Journal of Antennas & Propagation, 2014, p1
- ISSN
1687-5869
- Publication type
Article
- DOI
10.1155/2014/807960