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

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• 作者：Rouhollah Amiri ; ^{amiri_rouhollah@ee.sharif.edu" class="auth_mail" title="E-mail the corresponding author} ; Hojatollah Zamani ^{hzamani@ee.sharif.edu" class="auth_mail" title="E-mail the corresponding author} ; Fereidoon Behnia ^{behnia@sharif.edu" class="auth_mail" title="E-mail the corresponding author} ; Farokh Marvasti ^{marvasti@sharif.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Multiple-input-multiple-output (MIMO) radar ; Target localization ; Compressed sensing (CS) ; Time difference of arrival (TDOA) ; Angle of arrival (AOA)
• 刊名：ICT Express
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：2
• 期：1
• 页码：23-27
• 全文大小：353 K

文摘

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.