Issues in ultra-wideband, widebeam SAR image formation

Goodman, Ronald N.; Tummala, Sreenidhi; Carrara, Walter G.

doi:10.1109/radar.1995.522595

Cited by 38 publications

(16 citation statements)

References 2 publications

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“…In order to test the algorithm in a more generic way, the key parameters of the low frequency, ultra-wideband/widebeam (UWB/WB) P3 SAR system [22][23][24] has been adopted into the simulation case, as listed in Table 1. The severe range migration associated with the fine resolution UWB/WB SAR systems has been posing a significant challenge for most of the image formation algorithms [25]. In the simulation, 8 point targets have been placed uniformly around a circle of radius 80 m. Its center, with another point target assigned, is located at center range (500 m).…”

Section: Results From Simulation Datamentioning

confidence: 99%

Azimuth Stacking Algorithm for Synthetic Aperture Radar Imaging

Li¹,

Tian²,

Wu³

et al. 2014

PIER

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Abstract-The aim of this paper is to present a frequency domain method for synthetic aperture radar (SAR) imaging. By using two consecutive linear mappings along Doppler and frequency domains, an azimuth-dependent SAR transfer function has been discovered. Based on this new transfer function, the SAR image can be reconstructed by the proposed azimuth stacking algorithm. The new algorithm can form SAR image at each azimuth position without DFT wrap around errors. If Chirp z-transform (CZT) is applied to carry out the two consecutive mappings (since they are linear mappings), the proposed algorithm will not require interpolations and thus its reconstructed image would be free of truncation errors. The new algorithm has been validated using both simulated and experimental ultrawideband/widebeam (UWB/WB) SAR data.

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Section: Results From Simulation Datamentioning

confidence: 99%

Azimuth Stacking Algorithm for Synthetic Aperture Radar Imaging

Li¹,

Tian²,

Wu³

et al. 2014

PIER

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“…9 The sources of the unwanted signals are typically radio and television stations with which the radar must share bandwidth. Operational UHF systems must contend with these unwanted signals and as a result, the available sets of data are said to be sparse-band.…”

Section: Need For Uhf Radar Measurement Capabilitymentioning

confidence: 99%

A 3D polar processing algorithm for scale model UHF ISAR imaging

et al. 2006

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In recent years, UHF synthetic aperture radar has become a growing area of interest among the radar community. Due to their relatively long wavelengths, UHF systems provide advantages that may not be attainable by microwave and millimeter-wave radar systems. These advantages include excellent target detection statistics in high clutter environments, wide-area surveillance, and long stand-off ranges. UHF systems also have proven synergistic properties with higher frequency radar systems in applications such as topographical mapping. However, the ability to study the characteristics of these lower frequency radar systems in a controlled and systematic environment is difficult. In this work, a physical scale modeling process is utilized to generate three-dimensional UHF imagery that may be used to study scattering phenomenology at these wavelengths. Dimensionally and dielectrically scaled targets and scenes are measured in a 6 -18 GHz microwave compact range to model the backscatter of the full-size target at UHF wavelengths. The microwave compact radar range and transceiver hardware utilized to model UHF radar signature data are briefly described. A description of the image processor used to generate three-dimensional UHF imagery from wide-band/wide-angle data collections is described as well. Finally, imagery of radar signature data collected from a M1A1 Abrams main battle tank model is examined. The high resolution imagery resulting from the wide-band/wide-angle collection will show that sub-wavelength features of ground targets are resolvable at these wavelengths.

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“…However, since ∆r var increases with Ψ at the edge of the synthetic aperture, it becomes non-negligible when Ψ is larger than a certain value. For instance, Ψ can be larger than 30 • in a SAR system working at VHF/UHF band [5]. Moreover, Ψ can easily be larger than 60 • for a near-range SAR system which intends to take advantage of the already existing automotive radar [6].…”

Section: Introductionmentioning

confidence: 99%

Octave Division Motion Compensation Algorithm for Near-Range Wide-Beam Sar Applications

Wu¹,

Zwick²

2014

PIER

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Abstract-The space-variant motion errors are specific to different targets and proportional to the beamwidth of a synthetic aperture radar (SAR) system, which makes them very difficult to be compensated for a SAR system with wide beamwidth. In this paper, a motion compensation (MoCo) algorithm that exploits the features of the geometry of near-range SAR applications is proposed. By dividing the whole range swath into several octave sub-swaths, the effects of space-variant motion errors can be greatly reduced, especially for targets at nearer range, with low computational load.

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Issues in ultra-wideband, widebeam SAR image formation

Cited by 38 publications

References 2 publications

Azimuth Stacking Algorithm for Synthetic Aperture Radar Imaging

Azimuth Stacking Algorithm for Synthetic Aperture Radar Imaging

A 3D polar processing algorithm for scale model UHF ISAR imaging

Octave Division Motion Compensation Algorithm for Near-Range Wide-Beam Sar Applications

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