articleIEEE Signal Processing LettersJan 1, 2026Closed access

Covariance Tensor Decomposition for NLOS Direction Finding in RIS-Aided Bistatic MIMO Radar

QXQian-Peng XieXLXiao-Peng LiJCJiyuan ChenMFMingxing Fang

National University of Defense Technology · Shenzhen University · +1 more institution

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Abstract

This letter investigates the problem of direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for non-line-of-sight (NLOS) targets in bistatic multiple-input multiple-output (MIMO) radar systems assisted by an intelligent reflecting surface (IRS). To tackle this issue, we propose a covariance tensor subspace-based algorithm. First, the received data is modeled within a tensor framework to preserve their inherent multi-dimensional spatiotemporal structure. Then, a fourth-order covariance tensor is constructed by computing correlations along the temporal dimension. Using the higher-order singular value decomposition (HOSVD), the signal subspace matrix is derived from this covariance tensor. The…

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Topics & keywords

Topics
Keywords
  • Signal subspace
  • Singular value decomposition
  • Covariance matrix
  • Tensor (intrinsic definition)
  • Covariance
  • Rotational invariance
  • Bistatic radar
  • Subspace topology
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