Spatial compressive sensing in MIMO radar with random arrays
Document Type
Conference Proceeding
Publication Date
11-12-2012
Abstract
We study compressive sensing in the spatial domain for target localization using MIMO radar. By leveraging a joint sparse representation, we extend the single-pulse framework proposed in [1] to a multi-pulse one. For this scenario, we devise a tree-based matching pursuit algorithm to solve the nonconvex localization problem. It is shown that this method can achieve high resolution target localization with a highly undersampled MIMO radar with transmit/receive elements placed at random. Moreover, a lower bound is developed on the number of transmit/receive elements required to ensure accurate target localization with high probability. © 2012 IEEE.
Identifier
84868584052 (Scopus)
ISBN
[9781467331401]
Publication Title
2012 46th Annual Conference on Information Sciences and Systems Ciss 2012
External Full Text Location
https://doi.org/10.1109/CISS.2012.6310839
Recommended Citation
Rossi, Marco; Haimovich, Alexander M.; and Eldar, Yonina C., "Spatial compressive sensing in MIMO radar with random arrays" (2012). Faculty Publications. 18020.
https://digitalcommons.njit.edu/fac_pubs/18020
