Paper Info
Title
Range-Angle Localization of Targets With Planar Frequency Diverse Subaperturing MIMO Radar.
Abstract
Target localization utilizing frequency diverse array (FDA) has received much attention in recent years. In this paper, we propose a tensor subspace-based multiple-target 3-D localization method with planar frequency diverse subaperturing multiple-input multiple-output (FDS-MIMO) radar. To fully exploit the inherent multidimensional FDS-MIMO radar matched filter output information, a tensor signal model is established first. Then, the FDS-MIMO radar range ambiguity problem is mitigated by applying co-prime frequency offsets along both the dimensions of the planer array. Next, a beamspace-based unitary tensor-multiple signal classification (UTMUSIC) algorithm is developed to utilize the inherent multidimensional structure through the higher order singular value decomposition (HOSVD)-based low-rank approximation. Moreover, two computationally efficient methods, namely, partial spectral search UTMUSIC and range-angle decoupling UTMUSIC algorithms, are also proposed accordingly. The superiority of the proposed approaches over conventional methods is verified with numerical results, in terms of both computational complexity and estimation accuracy.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2810139
IEEE ACCESS
Keywords
Field
DocType
Frequency diverse array (FDA),transmit subaperturing,target localization,range ambiguity,co-prime frequency offset,tensor MUSIC
Radar,Diversity scheme,Radar imaging,Tensor,Subspace topology,Computer science,Algorithm,Matched filter,Higher-order singular value decomposition,Computational complexity theory,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Xingxing Li120.70
Dang-wei Wang2212.22
Wen-Qin Wang336845.93
Weijian Liu429335.82
Xiaoyan Ma531.39