Title | ||
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Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars |
Abstract | ||
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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 |
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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 Amiri | 1 | 55 | 7.88 |
Hojatollah Zamani | 2 | 20 | 3.43 |
F. Behnia | 3 | 112 | 14.47 |
Farokh Marvasti | 4 | 573 | 72.71 |