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WANG Yong, XU Shanshan, LIU Weijian, et al. Double hierarchical nonhomogeneous multirank target detection method for distributed MIMO radars in subspace interference scenarios[J]. Journal of Radars, in press. doi: 10.12000/JR25008
Citation: WANG Yong, XU Shanshan, LIU Weijian, et al. Double hierarchical nonhomogeneous multirank target detection method for distributed MIMO radars in subspace interference scenarios[J]. Journal of Radars, in press. doi: 10.12000/JR25008
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Double Hierarchical Nonhomogeneous Multirank Target Detection Method for Distributed MIMO Radars in Subspace Interference Scenarios

DOI: 10.12000/JR25008 CSTR: 32380.14.JR25008
  • 1.

    Xidian University, Xi’an 710071, China

  • 2.

    Air Force Early Warning Academy, Wuhan 430019, China

  • 3.

    The 27th Research Institute of China Electronics Technology Group, Zhengzhou 450000, China

Funds:  The National Natural Science Foundation of China (62371379, 62471485, 62071482)
More Information
  • Corresponding author: XU Shanshan 23021211650@stu.xidian.edu.cn
  • Received Date: 2025-01-06
  • Rev Recd Date: 2025-04-30
    • Available Online: 2025-05-13
    Abstract
  • The paper proposes a double hierarchical nonhomogeneous multirank target detection method for the distributed Multiple-Input Multiple-Output (MIMO) radar to detect targets in scenarios with subspace interference and nonhomogeneous clutter. First, a multirank target model and subspace interference model are established based on the fact that the target signal and interference are located in two linearly independent subspaces, each with a rank greater than 1. The corresponding subspace matrices of the two subspaces and the coordinate vectors of the corresponding distance units are unknown. Then, a distributed MIMO radar system with a double hierarchical nonhomogeneous structure is designed, and the interference of each transmit-receive pair is nonhomogeneous, i.e., each transmit-receive pair possesses different statistics. In addition, the clutter in one transmit-receive pair is nonhomogeneous. Subsequently, the double hierarchical nonhomogeneous multirank target Rao detector and Wald detector are designed for the distributed MIMO radar in the context of subspace interference. This is achieved by adopting the Rao and Wald test criteria, constructing the parameter estimation strategy to be solved, and estimating the power median normalized covariance. Theoretical derivation showed that the proposed method had a constant false alarm property for the clutter covariance matrix structure. Simulation experiments showed that the proposed method guarantees a constant false alarm property for the clutter covariance matrix structure; in addition, compared with the existing distributed MIMO radar detection methods, the proposed detection method improves the target detection and interference suppression performances.

     

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