Time-Frequency Reversion-Based Spectrum Analysis Method and Its Applications in Radar Imaging
نویسندگان
چکیده
Spectrum analysis (SA) plays an important role in radar signal processing, especially imaging algorithm design. Because it is usually hard to obtain the analytical expression of spectrum by Fourier integral directly, principle stationary phase (POSP)-based SA applied approximate this integral. However, POSP requires vary rapidly, which not case circular synthetic aperture (SAR) and turntable inverse SAR (ISAR). To solve problem, a new method based on time-frequency reversion (TFRSA) proposed, utilizes relationship transform pairs their corresponding phases. In addition, connection between geometry also analyzed utilized help reversion. When TFRSA linear trajectory SAR, obtained same as result POSP. ISAR, expressions near-field far-field are derived difference found be position-independent. Based finding, extended polar format (EPFA) for ISAR can distortion defocusing problems caused traditional algorithms. (CSAR), efficient EPFA low efficiency problem conventional BP-based CSAR The simulations real data processing results provided validate effectiveness proposed method.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2021
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs13040600