Fast two‐dimensional THz imaging using rail‐based synthetic aperture radar (SAR) processing

Saqueb, Syed An Nazmus; Nahar, Niru K.; Sertel, Kubilay

doi:10.1049/el.2020.0847

Cited by 11 publications

(8 citation statements)

References 8 publications

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“…The PTRS [6,[15][16][17][18] plays an important role in the frequency domain multireceiver SAS imagery. Here, we first discuss the deducing of PTRS.…”

Section: Ptrsmentioning

confidence: 99%

Frequency‐domain multireceiver synthetic aperture sonar imagery with Chebyshev polynomials

Zhang

Yang²,

Sun

2022

Electronics Letters

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Based on Chebyshev polynomials, the two‐way slant range is first approximated by the fourth‐order polynomial approximation. With the series reversion method, the point target reference spectrum (PTRS) which is further used for the development of imaging algorithm in this letter is obtained. The presented method processes the echoed signal corresponding to each transmitter/receiver pair. And then a high‐resolution synthetic aperture sonar (SAS) image is obtained by coherently superposing all coarse‐resolution images. Comparing the peak sidelobe ratio (PSLR) and integration sidelobe ratio (ISLR), the performance of the presented method is superior to that of the traditional method. Simulations are further validated by the presented method.

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“…The PTRS [6,[15][16][17][18] plays an important role in the frequency domain multireceiver SAS imagery. Here, we first discuss the deducing of PTRS.…”

Section: Ptrsmentioning

confidence: 99%

Frequency‐domain multireceiver synthetic aperture sonar imagery with Chebyshev polynomials

Zhang

Yang²,

Sun

2022

Electronics Letters

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“…In [6 ], Saqueb, Nahar and Sertel present a rail‐based THz SAR imaging system capable of capturing images of concealed objects behind a dielectric material layer.…”

Section: Tera Hertz Ndtmentioning

confidence: 99%

Guest Editorial: Non‐Destructive Testing

2020

Electron. lett.

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“…Most of the state-of-the-art THz SARs have been designed to process bandpass signals and are realized as ground-and rail-based systems. For example, in [8][9][10], SAR imaging is performed at 0.3 THz, and, in [11,12], the imaging has been implemented at frequencies 0.6 THz and 0.75 THz, respectively. Recent results include imaging at 1.1 THz that have been published in [13].…”

Section: Introductionmentioning

confidence: 99%

Interpolation Methods with Phase Control for Backprojection of Complex-Valued SAR Data

Ivanenko

Batra

et al. 2022

Sensors

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Time-domain backprojection algorithms are widely used in state-of-the-art synthetic aperture radar (SAR) imaging systems that are designed for applications where motion error compensation is required. These algorithms include an interpolation procedure, under which an unknown SAR range-compressed data parameter is estimated based on complex-valued SAR data samples and backprojected into a defined image plane. However, the phase of complex-valued SAR parameters estimated based on existing interpolators does not contain correct information about the range distance between the SAR imaging system and the given point of space in a defined image plane, which affects the quality of reconstructed SAR scenes. Thus, a phase-control procedure is required. This paper introduces extensions of existing linear, cubic, and sinc interpolation algorithms to interpolate complex-valued SAR data, where the phase of the interpolated SAR data value is controlled through the assigned a priori known range time that is needed for a signal to reach the given point of the defined image plane and return back. The efficiency of the extended algorithms is tested at the Nyquist rate on simulated and real data at THz frequencies and compared with existing algorithms. In comparison to the widely used nearest-neighbor interpolation algorithm, the proposed extended algorithms are beneficial from the lower computational complexity perspective, which is directly related to the offering of smaller memory requirements for SAR image reconstruction at THz frequencies.

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Fast two‐dimensional THz imaging using rail‐based synthetic aperture radar (SAR) processing

Cited by 11 publications

References 8 publications

Frequency‐domain multireceiver synthetic aperture sonar imagery with Chebyshev polynomials

Frequency‐domain multireceiver synthetic aperture sonar imagery with Chebyshev polynomials

Guest Editorial: Non‐Destructive Testing

Interpolation Methods with Phase Control for Backprojection of Complex-Valued SAR Data

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