Tensor-Based Angle Estimation for Bistatic MIMO Radar Systems with Multislot Gain-Phase Error

  • Jianhe Du
  • , Weijia Yu
  • , Yuanzhi Chen
  • , Libiao Jin*
  • , Xingwang Li
  • , Daniel B. Da Costa
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

In this article, a tensor-based angle estimation algorithm is proposed for bistatic multiple-input multiple-output (MIMO) radar systems with a multislot gain-phase error (MSGPE). First, the received signals are constructed into a complex-valued third-order parallel factor model that contains information, such as transmit MSGPE, receive MSGPE, directions of departure (DODs), and directions of arrival (DOAs). Then, a two-stage tensor-based angle algorithm is proposed for antenna arrays with the MSGPE. In the first stage, the MSGPE information part and angle information part are separated by the least-squares Khatri-Rao factorization. In the second stage, the DODs and DOAs are obtained jointly based on spatial smoothing and real-valued processing techniques under eliminating the influence of MSGPE. Compared with the existing competitive algorithms, the proposed algorithm achieves an improved performance and is applicable for both the coherent and noncoherent targets. Simulation results show the superiority of the proposed tensor-based angle estimation algorithm.

Original languageEnglish
Pages (from-to)8411-8427
Number of pages17
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume59
Issue number6
DOIs
StatePublished - 1 Dec 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1965-2011 IEEE.

Keywords

  • Angle estimation
  • bistatic multiple-input multiple-output (MIMO) radar systems
  • multislot gain-phase error (MSGPE)
  • tensor based

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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