Spatial resolution analysis of low frequency ultrawidebeam–ultrawideband synthetic aperture radar based on wavenumber domain support of echo data

Hongtu Xie; Daoxiang An; Xiaotao Huang; Zhimin Zhou

doi:10.1117/1.JRS.9.095033

30 December 2015 Spatial resolution analysis of low frequency ultrawidebeam–ultrawideband synthetic aperture radar based on wavenumber domain support of echo data

Hongtu Xie, Daoxiang An, Xiaotao Huang, Zhimin Zhou

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 9, Issue 1, 095033 (December 2015). https://doi.org/10.1117/1.JRS.9.095033

Abstract

Compared with the traditional narrowbeam–narrowband (NB) synthetic aperture radar (SAR), the large fractional signal bandwidth and wide azimuth beamwidth of the low frequency (LF) ultrawidebeam–ultrawideband (UWB) SAR induce serious coupling between the azimuth and range wave numbers of the echo data, which might influence the behavior of the spatial resolution in the SAR imaging. The spatial resolution considering the system wave number coupling and radar squint angle for the LF UWB SAR system is proposed based on the wave number domain support (WDS) of the echo data. First, the SAR imaging geometry is built and then the spatial wave number of the echo data for the LF UWB SAR is analyzed. Second, based on the WDS of the echo data, the spatial resolution of the LF UWB SAR is derived. Moreover, the narrowing/broadening factor defined as the ratio of the proposed spatial resolution to the traditional spatial resolution is presented, which indicates the effects of the fractional bandwidth and associated integration angle as well as the squint angle on the spatial resolution. Finally, simulation results are given to prove the correctness of the theory analysis and validity of the proposed spatial resolution.

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Hongtu Xie, Daoxiang An, Xiaotao Huang, and Zhimin Zhou "Spatial resolution analysis of low frequency ultrawidebeam–ultrawideband synthetic aperture radar based on wavenumber domain support of echo data," Journal of Applied Remote Sensing 9(1), 095033 (30 December 2015). https://doi.org/10.1117/1.JRS.9.095033

Published: 30 December 2015

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