Joint Clutter Suppression and Moving Target Indication in 2-D Azimuth Rotated Time Domain for Single-channel Bistatic SAR
Moving target indication (MTI) in bistatic synthetic aperture radar (BiSAR) is a promising task in both civilian and military fields. However, it suffers severe challenges under the influence of clutter. MTI in BiSAR mainly faces three challenges: 1) The range cell migration (RCM) of BiSAR is larger...
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Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2023-01, Vol.61, p.1-1 |
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Sprache: | eng |
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Zusammenfassung: | Moving target indication (MTI) in bistatic synthetic aperture radar (BiSAR) is a promising task in both civilian and military fields. However, it suffers severe challenges under the influence of clutter. MTI in BiSAR mainly faces three challenges: 1) The range cell migration (RCM) of BiSAR is larger than that of monostatic synthetic aperture radar. 2) The clutter range-Doppler spectrum is severely extended. 3) The clutter characteristic is closely related to geometrical configuration, with nonhomogeneity and nonstationarity. To solve these problems, based on single-channel BiSAR, a joint clutter suppression and MTI method is proposed. Firstly, to ensure that the energy of an arbitrary target is concentrated in one range cell, RCM correction (RCMC) is completed by the first-order keystone transform (KT) and high-order RCMC. Then, an important step named increased dimension rotation (IDR) is applied, which mainly consists of two stages. One is increased dimension processing, which introduces two-dimensional (2-D) azimuth rotated time domain (ARTD). The other is rotation processing, which makes signals in one range cell rotated to 2-D ARTD. After that, the distribution characteristic between the moving target and stationary clutter in 2-D ARTD is analyzed. Next, an optimal filter for clutter suppression is designed according to characteristics of signal distribution in 2-D ARTD. Furthermore, the corresponding inverse IDR processing and Fractional Fourier Transform (FrFT) are performed, and finally MTI can be realized accurately. Generally, the proposed method has good robustness and low system complexity, and its effectiveness is proved by numerical simulations. |
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ISSN: | 0196-2892 1558-0644 |
DOI: | 10.1109/TGRS.2023.3237553 |