Side-Lobe Reduction for Radio Frequency Interference Suppression via Clipping of Strong Scatterers

Li, Yueli; Li, Xiangyang; Zhang, Zhimin

doi:10.1109/lgrs.2016.2574908

Cited by 9 publications

(3 citation statements)

References 12 publications

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“…To improve the capability of fast-tracking time varying signal and noise statistics, Vu et al proposed to use an adaptive line enhancer (ALE) controlled by the normalized LMS (NLMS) algorithm to eliminate RFI [55]. Li et al proposed a normalized LMS filter with clipping of strong scatterers to reduce the asymmetric range side-lobes level [56]. To improve the computation efficiency, the Wiener filter is also applied on the SAR data [57,58].…”

Section: Recursive Filtermentioning

confidence: 99%

Mitigation of Radio Frequency Interference in Synthetic Aperture Radar Data: Current Status and Future Trends

et al. 2019

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Radio frequency interference (RFI) is a major issue in accurate remote sensing by a synthetic aperture radar (SAR) system, which poses a great hindrance to raw data collection, image formation, and subsequent interpretation process. This paper provides a comprehensive study of the RFI mitigation techniques applicable for an SAR system. From the view of spectrum allocation, possible terrestrial and spaceborne RFI sources to SAR system and their geometry are analyzed. Typical signal models for various RFI types are provided, together with many illustrative examples from real measured data. Then, advanced signal processing techniques for removing RFI are reviewed. Advantages and drawbacks of each approach are discussed in terms of their applicability. Discussion on the future trends are provided from the perspective of cognitive, integrated, and adaptive. This review serves as a reference for future work on the implementation of the most suitable RFI mitigation scheme for an air-borne or space-borne SAR system.

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Section: Recursive Filtermentioning

confidence: 99%

Mitigation of Radio Frequency Interference in Synthetic Aperture Radar Data: Current Status and Future Trends

et al. 2019

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“…In recent decades, many RFI suppression algorithms have been studied and developed. Some researchers transformed the signal to a specific domain (e.g., frequency domain and time–frequency domain) and designed a notch filter to remove interference signals with specific bandwidths [ 8 , 9 , 10 , 11 ]. Radio frequency interference can be effectively suppressed by these methods.…”

Section: Introductionmentioning

confidence: 99%

Multiclass Radio Frequency Interference Detection and Suppression for SAR Based on the Single Shot MultiBox Detector

Sun

et al. 2018

Sensors

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Radio frequency interference (RFI) is known to jam synthetic aperture radar (SAR) measurements, severely degrading the SAR imaging quality. The suppression of RFI in SAR echo signals is usually an underdetermined blind source separation problem. In this paper, we propose a novel method for multiclass RFI detection and suppression based on the single shot multibox detector (SSD). First, an echo-interference dataset is established by randomly combining the target signal with various types of RFI in a simulation, and the time–frequency form of the dataset is obtained by utilizing the short-time Fourier transform (STFT). Next, the time–frequency dataset acts as input data to train the SSD and obtain a network that is capable of detecting, identifying and estimating the interference. Finally, all of the interference signals are exactly reconstructed based on the prediction results of the SSD and mitigated by an adaptive filter. The proposed method can effectively increase the signal-to-interference-noise ratio (SINR) of RFI-contaminated SAR echoes and improve the peak sidelobe ratio (PSLR) after pulse compression. The simulated experimental results validate the effectiveness of the proposed method.

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“…(Griffiths et al, ; Misra & de Matthaeis, ). The existences of RFI pose a hindrance to PolSAR image formation and image interpretation (Li et al, ; Nguyen & Tran ). Freeman () analyzed the effects of noise on polarimetric SAR data while without discussing the interference.…”

Section: Introductionmentioning

confidence: 99%

Characterization and Mitigation of Radio Frequency Interference in PolSAR Data

2017

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Polarimetric synthetic aperture radar (PolSAR) is a very important instrument for active remote sensing. However, it is common to find that PolSAR echoes are often contaminated by incoherent electromagnetic interference, which is referred to as radio frequency interference (RFI). The analysis of RFI signatures and its influence on PolSAR data seems to be lacking in existing literatures, especially for PolSAR post products, such as the polarimetric decomposition parameters and clustering result. The goal of this paper is to reveal the link between RFI and polarization, as well as to analyze the impact of interference on PolSAR image and its post products. Qualitative and quantitative analyses of the adverse impact of RFI on the real measured NASA/Jet Propulsion Laboratory (JPL) Uninhabited Aerial Vehicle Synthetic Aperture Radar data set are illustrated from two perspectives, that is, evaluation of imaging quality and interpretation of scattering mechanisms. The point target response and effective number of looks are evaluated for assessing the distortion to focusing quality. Further, we discussed the characteristics of ultra wideband RFI and proposed a mitigation method using nonnegative matrix factorization along azimuth direction. The experimental results indicate the effectiveness of the proposed method.

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Side-Lobe Reduction for Radio Frequency Interference Suppression via Clipping of Strong Scatterers

Cited by 9 publications

References 12 publications

Mitigation of Radio Frequency Interference in Synthetic Aperture Radar Data: Current Status and Future Trends

Mitigation of Radio Frequency Interference in Synthetic Aperture Radar Data: Current Status and Future Trends

Multiclass Radio Frequency Interference Detection and Suppression for SAR Based on the Single Shot MultiBox Detector

Characterization and Mitigation of Radio Frequency Interference in PolSAR Data

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