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

被引：47

作者：

Amiri, Rouhollah ^{[1
]}

Zamani, Hojatollah ^{[1
]}

Behnia, Fereidoon ^{[1
]}

Marvasti, Farokh ^{[1
]}

机构：

[1] Sharif Univ Technol, Dept Elect Engn, Tehran, Iran

来源：

ICT EXPRESS | 2016年 / 2卷 / 01期

关键词：

Multiple-input-multiple-output (MIMO) radar; Target localization; Compressed sensing (CS); Time difference of arrival (TDOA); Angle of arrival (AOA);

D O I：

10.1016/j.icte.2016.02.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

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. (C) 2016 The Korean Institute of Communications Information Sciences. Production and Hosting by Elsevier B.V.

引用

页码：23 / 27

页数：5

共 21 条

[1]

Direct positioning of stationary targets using MIMO radar [J].