A Chirp Transform Algorithm for Processing Squint Mode FMCW SAR Data

• Published in: IEEE geoscience and remote sensing letters Vol. 4; no. 3; pp. 377 - 381
• Main Authors: Jiang, Zhi-Hong, Huang-Fu, Kan, Wan, Jian-Wei
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2007; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Airborne radar; Algorithms; Chirp; Chirp transform algorithm; Data processing; Frequency; frequency-modulated continuous-wave (FMCW) radar; High-resolution imaging; Image reconstruction; Image sampling; Imaging radar; Radar antennas; Radar imaging; Sampling; Synthetic aperture radar; synthetic aperture radar (SAR); Transforms; Weight reduction
• ISSN: 1545-598X; 1558-0571
• DOI: 10.1109/LGRS.2007.895689

Frequency-modulated continuous-wave (FMCW) synthetic aperture radar (SAR) is a lightweight cost-effective high-resolution airborne imaging radar. In squint case, the frequency scaling algorithm, which is suitable for processing nonchirped raw data, cannot be used directly in FMCW SAR data processing because of low system sampling frequency. On the other hand, the continuous antenna motion of FMCW SAR can cause serious distortions in the reconstructed images. In this letter, an improved algorithm called the chirp transform algorithm is proposed. When the effects of the residual video phase are negligible, the algorithm uses a chirp transform to perform the time scaling operation to alleviate the sampling frequency problem. It requires only fast Fourier transforms and multiplications. The range cell migration introduced by the continuous motion is also compensated completely in range-Doppler domain. The algorithm performances are analyzed and are supported by point target simulation experiments.