Frequency Domain Panoramic Imaging Algorithm for Ground-Based ArcSAR

The ground-based arc-scanning synthetic aperture radar (ArcSAR) is capable of 360° scanning of the surroundings with the antenna fixed on a rotating arm. ArcSAR has much wider field of view when compared with conventional ground-based synthetic aperture radar (GBSAR) scanning on a linear rail. It has already been used in deformation monitoring applications. This paper mainly focuses on the accurate and fast imaging algorithms for ArcSAR. The curvature track makes the image focusing challenging and, in the classical frequency domain, fast imaging algorithms that are designed for linear rail SAR cannot be readily applied. This paper proposed an efficient frequency domain imaging algorithm for ArcSAR. The proposed algorithm takes advantage of the angular shift-invariant property of the ArcSAR signal, and it deduces the accurate matched filter in the angular-frequency domain, so panoramic images in polar coordinates with wide swath can be obtained at one time without segmenting strategy. When compared with existing ArcSAR frequency domain algorithms, the proposed algorithm is more accurate and efficient, because it has neither far range nor narrow beam antenna restrictions. The proposed method is validated by both simulation and real data. The results show that our algorithm brings the quality of image close to the time domain back-projection (BP) algorithm at a processing efficiency about two orders of magnitude better, and it has better image quality than the existing frequency domain Lee’s algorithm at a comparable processing speed.

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Non Stationary Bistatic Synthetic Aperture Radar Processing: Assessment of Frequency Domain Processing from Simulated and Real Signals

PIERS Online ◽

10.2529/piers081007120542 ◽

2009 ◽

Vol 5 (2) ◽

pp. 196-200 ◽

Cited By ~ 3

Author(s):

Hubert M. J. Cantalloube

Keyword(s):

Synthetic Aperture Radar ◽

Frequency Domain ◽

Synthetic Aperture ◽

Bistatic Synthetic Aperture Radar ◽

Aperture Radar ◽

Frequency Domain Processing

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Deformation information extraction method based on differential synthetic aperture radar interferometry

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189016 ◽

2020 ◽

Vol 39 (4) ◽

pp. 5311-5318

Author(s):

Zhengquan Hu ◽

Yu Liu ◽

Xiaowei Niu ◽

Guoping Lei

Keyword(s):

Remote Sensing ◽

Synthetic Aperture Radar ◽

Adaptive Filtering ◽

Extraction Method ◽

Deformation Monitoring ◽

Radar Interferometry ◽

Synthetic Aperture ◽

Filtering Method ◽

Synthetic Aperture Radar Interferometry ◽

Aperture Radar

As aerospace technology, computer technology, network communication technology and information technology become more and more perfect, a variety of sensors for measurement and remote sensing are constantly emerging, and the ability to acquire remote sensing data is also continuously enhanced. Synthetic Aperture Radar Interferometry (InSAR) technology greatly expands the function and application field of imaging radar. Differential InSAR (DInSAR) developed based on InSAR technology has the advantages of high precision and all-weather compared with traditional measurement methods. However, DInSAR-based deformation monitoring is susceptible to spatiotemporal coherence, orbital errors, atmospheric delays, and elevation errors. Since phase noise is the main error of InSAR, to determine the appropriate filtering parameters, an iterative adaptive filtering method for interferogram is proposed. For the limitation of conventional DInSAR, to improve the accuracy of deformation monitoring as much as possible, this paper proposes a deformation modeling based on ridge estimation and regularization as a constraint condition, and introduces a variance component estimation to optimize the deformation results. The simulation experiment of the iterative adaptive filtering method and the deformation modeling proposed in this paper shows that the deformation information extraction method based on differential synthetic aperture radar has high precision and feasibility.

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