Computer Science – Information Theory
Scientific paper
2009-12-05
Computer Science
Information Theory
5 pages, 3 figures, Asilomar 2009
Scientific paper
The authors recently proposed a MIMO radar system that is implemented by a small wireless network. By applying compressive sensing (CS) at the receive nodes, the MIMO radar super-resolution can be achieved with far fewer observations than conventional approaches. This previous work considered the estimation of direction of arrival and Doppler. Since the targets are sparse in the angle-velocity space, target information can be extracted by solving an l1 minimization problem. In this paper, the range information is exploited by introducing step frequency to MIMO radar with CS. The proposed approach is able to achieve high range resolution and also improve the ambiguous velocity. However, joint angle-Doppler-range estimation requires discretization of the angle-Doppler-range space which causes a sharp rise in the computational burden of the l1 minimization problem. To maintain an acceptable complexity, a technique is proposed to successively estimate angle, Doppler and range in a decoupled fashion. The proposed approach can significantly reduce the complexity without sacrificing performance.
Petropulu Athina P.
Poor Harold Vincent
Yu Yao
No associations
LandOfFree
Reduced Complexity Angle-Doppler-Range Estimation for MIMO Radar That Employs Compressive Sensing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Reduced Complexity Angle-Doppler-Range Estimation for MIMO Radar That Employs Compressive Sensing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reduced Complexity Angle-Doppler-Range Estimation for MIMO Radar That Employs Compressive Sensing will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-83630