Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars

• Main Authors: Rouhollah Amiri, Hojatollah Zamani, Fereidoon Behnia, Farokh Marvasti
• Format: Article
• Language: English
• Published: Elsevier 2016-03-01
• Series: ICT Express
• Subjects: Multiple-input-multiple-output (MIMO) radar; Target localization; Compressed sensing (CS); Time difference of arrival (TDOA); Angle of arrival (AOA)
• Online Access: http://www.sciencedirect.com/science/article/pii/S2405959515300904
• ISSN: 2405-9595

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.