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  • https://doi.org/10.1109/radarconf2043947.2020.9266370Copy DOI Icon

Image Enhancement with Blind Deconvolution in Millimeter-Wave 3-D FLoSAR

  • Sep 21, 2020
  • Kumar Vijay Mishra +1 more
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Abstract

Recently, three-dimensional (3-D) millimeter-wave (mm-Wave) Forward-Looking Synthetic Aperture Radar (FLoSAR) has emerged as a promising technology for applications such as self-landing, navigation, and collision-avoidance in a deteriorated vision environment. The FLoSAR images targets when the radar platform is moving in the forward direction. The advantage of operating at mm-Wave comes from potentially exploiting its unlicensed, wide bandwidth for high-resolution imaging. Simultaneously, high angular resolution is difficult to achieve in FLoSAR because objects located symmetrically along the flight direction have the same range and Doppler history. Additionally, at mmWave, GPS accuracy is insufficient to obtain platform position at subwavelength level leading to challenges in providing motion compensation in the reconstructed images. In this work, we investigate the autofocusing by modeling it as a sparse deconvolution problem. The radar measurements correspond to a convolution of unknown radar image with an impulse function that has unknown focusing errors. In particular, we exploit the sparse nature of the target scenario and compare the results with the phase gradient autofocus method.

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