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Passive Synthetic Aperture Radar Imaging Using Kalman Reflection Coefficients Estimation Algorithm with DVB-T Signal

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Abstract

In this paper, a new method is presented for image formation in a Multistatic Passive Synthetic Aperture Radar (SAR), whose receiver is moving and transmitters are stationary in a multistatic structure, and the signal used to create the image is DVB-T. The proposed method uses multiple transmitters of opportunity to improve the range resolution of a Passive SAR. First, a linear observation model is developed for multistatic structure of the Passive SAR system. Then, the image of the underlying scene is obtained through a new Kalman-based estimation algorithm. In this algorithm, range migration error is completely corrected, and the use of Kalman recursive filter reduces the computational complexity of the reflection coefficients estimation algorithm. Experimental results indicate that the proposed algorithm is effective.

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Notes

  1. Digital Video Broadcasting-Terrestrial.

  2. Digital Audio Broadcasting.

  3. Worldwide Interoperability for Microwave Access.

  4. Global System for Mobile Communications.

  5. Frequency Modulation.

  6. Orthogonal Frequency Division Multiplexing.

  7. Ultra High Frequency.

  8. Very High Frequency.

  9. Quadrature Phase Shift Keying.

  10. 16 Quadrature Amplitude Modulation.

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Authors and Affiliations

  1. Shiraz University of Technology, Shiraz, Iran

    Farzad Ansari, Sadegh Samadi & Reza Mohseni

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  1. Farzad Ansari
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  2. Sadegh Samadi
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  3. Reza Mohseni
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Correspondence to Farzad Ansari.

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Ansari, F., Samadi, S. & Mohseni, R. Passive Synthetic Aperture Radar Imaging Using Kalman Reflection Coefficients Estimation Algorithm with DVB-T Signal. J Real-Time Image Proc 18, 2097–2109 (2021). https://doi.org/10.1007/s11554-021-01075-1

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