Title
Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars
Abstract
In this paper, a sparsity-aware hybrid target localization method in multiple-input-multiple-output (MIMO) radars from time difference of arrival (TDOA) and angle of arrival (AOA) measurements is proposed. This method provides a maximum likelihood estimate of target position by employing compressive sensing techniques. A blockwise approach is addressed in order to achieve better accuracy for a constant computational complexity. The mismatch problem due to grid discretization is also tackled by a dictionary learning technique. The Cramer–Rao lower bound for this model is derived as a benchmark. Numerical simulations are included to corroborate the theoretical developments.
Year
DOI
Venue
2016
10.1016/j.icte.2016.02.002
ICT Express
Keywords
DocType
Volume
Multiple-input-multiple-output (MIMO) radar,Target localization,Compressed sensing (CS),Time difference of arrival (TDOA),Angle of arrival (AOA)
Journal
2
Issue
ISSN
Citations 
1
2405-9595
1
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Rouhollah Amiri1557.88
Hojatollah Zamani2203.43
F. Behnia311214.47
Farokh Marvasti457372.71