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Message Passing Based Robust Target Localization in Distributed MIMO Radars in the Presence of Outliers

Journal Article


Abstract


  • In this letter, a novel factor graph approach to target localization in distributed MIMO radars is proposed. To achieve robust localization in the presence of outliers, target localization can be formulated as a least absolute deviation (LAD) problem, which, however, is difficult to solve. We then reformulate the LAD problem as a reweighted least square (LS) one, which is converted to a product of some functions, enabling the use of factor graph techniques. Based on a factor graph representation, a highly efficient message passing algorithm is developed, where the target location is estimated in an iterative way. Comparisons with state-of-the-art methods show that the proposed method is superior in terms of computational complexity, robustness and accuracy.

Publication Date


  • 2020

Citation


  • Yu, Z., Li, J., Guo, Q., & Sun, T. (2020). Message Passing Based Robust Target Localization in Distributed MIMO Radars in the Presence of Outliers. IEEE Signal Processing Letters, 27, 2168-2172. doi:10.1109/LSP.2020.3042456

Scopus Eid


  • 2-s2.0-85097923744

Start Page


  • 2168

End Page


  • 2172

Volume


  • 27

Abstract


  • In this letter, a novel factor graph approach to target localization in distributed MIMO radars is proposed. To achieve robust localization in the presence of outliers, target localization can be formulated as a least absolute deviation (LAD) problem, which, however, is difficult to solve. We then reformulate the LAD problem as a reweighted least square (LS) one, which is converted to a product of some functions, enabling the use of factor graph techniques. Based on a factor graph representation, a highly efficient message passing algorithm is developed, where the target location is estimated in an iterative way. Comparisons with state-of-the-art methods show that the proposed method is superior in terms of computational complexity, robustness and accuracy.

Publication Date


  • 2020

Citation


  • Yu, Z., Li, J., Guo, Q., & Sun, T. (2020). Message Passing Based Robust Target Localization in Distributed MIMO Radars in the Presence of Outliers. IEEE Signal Processing Letters, 27, 2168-2172. doi:10.1109/LSP.2020.3042456

Scopus Eid


  • 2-s2.0-85097923744

Start Page


  • 2168

End Page


  • 2172

Volume


  • 27