Volume 10 Issue 3
Jun.  2021
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Article Navigation >  Journal of Radars  > 2021  >  10(3): 432-442
Xing Xiang-wei, Ji Ke-feng, Kang Li-hong, Zhan Ming. Review of Ship Surveillance Technologies Based on High-Resolution Wide-Swath Synthetic Aperture Radar Imaging[J]. Journal of Radars, 2015, 4(1): 107-121. doi: 10.12000/JR14144
Citation: LIU Zhen, SU Xiaolong, LIU Tianpeng, et al. Matrix differencing method for mixed far-field and near-field source localization[J]. Journal of Radars, 2021, 10(3): 432–442. doi: 10.12000/JR20145
shu

Matrix Differencing Method for Mixed Far-field andNear-field Source Localization

DOI: 10.12000/JR20145

  • College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds:  The National Natural Science Foundation of China (62022091, 61921001, 61801488, 61701510)
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    Abstract
  • Mixed source localization plays an important role in passive radars. Aiming at the problem of low accuracy via phase difference method under a uniform circular array, this paper proposes a matrix differencing method for mixed far-field and near-field source localization. First, a two-dimensional MUltiple SIgnal Classification (MUSIC) method was utilized to estimate the azimuth and elevation angles of far-field sources. Thereafter, the covariance matrix difference method was exploited to extract the difference matrix of near-field sources. The azimuth and elevation angles of the far-field sources were estimated using the Estimation of Signal Parameters via Rotational Invariance Techniques-like (ESPRIT-like) method. Furthermore, the distance of the near-field sources was obtained by the one-dimensional MUSIC method. Finally, simulations were performed to verify the performance of the proposed algorithm. The proposed algorithm could effectively identify the mixed source when the two-dimensional Direction-Of-Arrival (DOA) of the far-field and near-field sources were the same. Moreover, the proposed algorithm could improve the accuracy of the mixed source parameter estimation. Results show that when the signal-to-noise ratio was set to 20 dB, the 2-D DOA estimation error of the near-field source was approximately 0.01°, and the distance error of the near-field source was approximately 0.1 m.

     

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    • References(17)
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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