Radio-frequency interference suppression for SAR imaging via time-frequency filter and sparse recovery

Xiaohong Lin; Xianmao Li; Xin Man

doi:10.1117/1.JRS.12.015007

25 January 2018 Radio-frequency interference suppression for SAR imaging via time-frequency filter and sparse recovery

Xiaohong Lin, Xianmao Li, Xin Man

Author Affiliations +

Funded by: Natural Science Foundation of China, Hubei Provincial Natural Science Foundation of China

Journal of Applied Remote Sensing, Vol. 12, Issue 1, 015007 (January 2018). https://doi.org/10.1117/1.JRS.12.015007

Abstract

Notch filtering is a popular technique to remove radio-frequency interference (RFI), due to its ease of implementation. However, significant degradation in performance occurs when RFI exhibits characteristics of high nonstationarity. Motivated by this challenge, this paper proposes a method that can not only effectively remove nonstationary RFI but can also obtain a well-focused image. The time-frequency (TF) distribution is constructed by short-time Fourier transform (STFT) with a nonoverlapping window in each slow time. The points of TF distribution belonging to RFI can be detected through a threshold and removed. Having sorted the remaining TF points, only points with the highest value belonging to the target echoes are retained, whereas the other points are set to zero and cast as missing samples. The linear relationship between the STFT vector and the range profile in the fractional Fourier transform domain is then established. Using sparsity, the range profile can be reconstructed by solving a minimization problem without any distortion. Finally, a two-dimensional image is obtained by the fractional range-Doppler algorithm. The results of simulations and experiments showed the effectiveness of the proposed method.

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Xiaohong Lin, Xianmao Li, and Xin Man "Radio-frequency interference suppression for SAR imaging via time-frequency filter and sparse recovery," Journal of Applied Remote Sensing 12(1), 015007 (25 January 2018). https://doi.org/10.1117/1.JRS.12.015007

Received: 18 August 2017; Accepted: 5 January 2018; Published: 25 January 2018

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