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The purpose of this paper is the reconnaissance and processing of MIMO radar signals when the enemy MIMO radar is transmitting orthogonal signals and there are enemy conventional radars operating in other directions. Singular Value Decomposition (SVD) is used to estimate the number of sources; the Fast Independent Component Analysis (FastICA) algorithm is used to perform blind source separation; the frequency of the separated signals is estimated for measurement, and then the frequency characteristics and orthogonality features of the MIMO radar signals are utilized to determine whether or not the MIMO radar signals are present. The direction of the incoming signal is estimated using the MUSIC algorithm. Simulation results show that the system can still detect the existing MIMO radar signals when the received signals are mixed with other enemy radar signals. The improved singular value decomposition estimates the number of signal sources better in a low SNR environment.

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Research on MIMO Radar Reconnaissance Direction Finding Algorithms

  • 会议论文

  • 发表日期：

    2025年

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  • Jie Yang,
  • Shijie Liang

摘要

The purpose of this paper is the reconnaissance and processing of MIMO radar signals when the enemy MIMO radar is transmitting orthogonal signals and there are enemy conventional radars operating in other directions. Singular Value Decomposition (SVD) is used to estimate the number of sources; the Fast Independent Component Analysis (FastICA) algorithm is used to perform blind source separation; the frequency of the separated signals is estimated for measurement, and then the frequency characteristics and orthogonality features of the MIMO radar signals are utilized to determine whether or not the MIMO radar signals are present. The direction of the incoming signal is estimated using the MUSIC algorithm. Simulation results show that the system can still detect the existing MIMO radar signals when the received signals are mixed with other enemy radar signals. The improved singular value decomposition estimates the number of signal sources better in a low SNR environment.