RFI Suppression for SAR Systems Based on Removed Spectrum Iterative Adaptive Approach

Xu, Wei; Xing, Weida; Fang, Chonghua; Huang, Pingping; Tan, Weixian; Gao, Zhiqi

doi:10.3390/rs12213520

Cited by 13 publications

(9 citation statements)

References 31 publications

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“…In terms of RFI suppression methods, they This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ can be roughly divided into three categories: nonparametric [9], [10], [11], parametric [12], [13], [14], [15], and semiparametric [16], [17], [18], [19], [20], [21], [22], [23]. Among them, nonparametric methods normally focus on the setting of notching filters in the frequency domain, which can greatly suppress RFIs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint Radio Frequency Interference and Deceptive Jamming Suppression Method for Single-Channel SAR via Subpulse Coding

Nie

Liao

Zeng

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The radio frequency interference (RFI) and deceptive jamming (DJ), as two major external threats to synthetic aperture radar (SAR) systems, can greatly reduce the readability and veracity of the obtained SAR images. Current interference suppression methods have no capability to suppress both of them. In this article, a subpulse coding (SPC)-based joint RFI and DJ suppression method for single-channel SAR systems is proposed. By making full use of the elaborate coding scheme and subpulse transmitting mode, SPC can effectively suppress RFIs in the Doppler domain. On the other hand, after the decoding process, by utilizing the subpulse digital beamforming (DBF) technology with the well-designed DBF weight vectors, DJs can also be suppressed greatly. Numerical experiments verify the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

“…This impact is especially evident when RFIs are wideband. Although a removed spectrum IAA is proposed in [11] to recover the damaged SAR signal spectrum, even so, when bandwidths of RFIs are relatively large, SAR signals are still difficult to be recovered perfectly. The common basic idea of parameter methods is the subspace projection.…”

Section: Introductionmentioning

confidence: 99%

Joint Radio Frequency Interference and Deceptive Jamming Suppression Method for Single-Channel SAR via Subpulse Coding

Nie

Liao

Zeng

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Global navigation satellite system (GNSS), represented by global position system (GPS), is a space-based navigation and positioning system, which is widely used in various fields such as land, sea and air navigation, aerospace, geodesy, and other national defense construction and national economy with its full space coverage, all-weather work, and high positioning accuracy [1][2][3]. When the navigation signal arrives at the ground, the signal is already very weak, so it is susceptible to various intentional or unintentional interferences [4][5][6]. For military or core civilian areas, anti-jamming performance is an important indicator to evaluate the navigation receivers [7,8].…”

Section: Introductionmentioning

confidence: 99%

Suppression of Jammer Multipath in GNSS Antenna Array Receiver

Huang

Xiao

et al. 2022

Remote Sensing

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Interference multipath is an important factor to affect the anti-jamming performance for the global navigation satellite system (GNSS) antenna array receiver. However, interference multipath must be considered in practical application. In this paper, the antenna array model for interference multipath is analyzed, and an equivalent model for interference multipath is proposed. According to the equivalent interference multipath model, the influence of interference multipath on anti-jamming performance is analyzed from the space only processing (SOP) and space-time adaptive processing (STAP). Interference multipath can cause loss of the degree of freedom (DoF) of SOP. Through analysis of the equivalent model and STAP mechanism, it further reveals how the STAP can solve the interference multipath. The simulation experiments prove that the equivalent model is effective, and the analysis conclusion is correct. This paper also points out that the interference bandwidth is wider and more taps in STAP are required, under the same experiment conditions.

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“…Chang et al [17] found that the trap filter had a significant effect on the side flaps of the system response, which may be considered as a false target; Wu et al [18] combine the advantages of traditional notching filtering and Eigen-subspace projection methods to reduce false alarm rates providing a more accurate determination of thresholds and gap weights. Instead of the method for processing data in the time and time-frequency domains, Xu et al [19] proposed an adaptive spectral iteration method to obtain the desired range spectra from the available neighbourhood spectral data. In a nutshell, the non-parametric method requires less computation and permits easier implementation [20], but faces the problem of spectral loss in the echo signal, which usually presents some significant side flaps in the image [21].…”

Section: Introductionmentioning

confidence: 99%

MCSNet: A Radio Frequency Interference Suppression Network for Spaceborne SAR Images via Multi-Dimensional Feature Transform

Ran

Zhang

et al. 2022

Remote Sensing

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Spaceborne synthetic aperture radar (SAR) is a promising remote sensing technique, as it can produce high-resolution imagery over a wide area of surveillance with all-weather and all-day capabilities. However, the spaceborne SAR sensor may suffer from severe radio frequency interference (RFI) from some similar frequency band signals, resulting in image quality degradation, blind spot, and target loss. To remove these RFI features presented on spaceborne SAR images, we propose a multi-dimensional calibration and suppression network (MCSNet) to exploit the features learning of spaceborne SAR images and RFI. In the scheme, a joint model consisting of the spaceborne SAR image and RFI is established based on the relationship between SAR echo and the scattering matrix. Then, to suppress the RFI presented in images, the main structure of MCSNet is constructed by a multi-dimensional and multi-channel strategy, wherein the feature calibration module (FCM) is designed for global depth feature extraction. In addition, MCSNet performs planned mapping on the feature maps repeatedly under the supervision of the SAR interference image, compensating for the discrepancies caused during the RFI suppression. Finally, a detailed restoration module based on the residual network is conceived to maintain the scattering characteristics of the underlying scene in interfered SAR images. The simulation data and Sentinel-1 data experiments, including different landscapes and different forms of RFI, validate the effectiveness of the proposed method. Both the results demonstrate that MCSNet outperforms the state-of-the-art methods and can greatly suppress the RFI in spaceborne SAR.

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RFI Suppression for SAR Systems Based on Removed Spectrum Iterative Adaptive Approach

Cited by 13 publications

References 31 publications

Joint Radio Frequency Interference and Deceptive Jamming Suppression Method for Single-Channel SAR via Subpulse Coding

Joint Radio Frequency Interference and Deceptive Jamming Suppression Method for Single-Channel SAR via Subpulse Coding

Suppression of Jammer Multipath in GNSS Antenna Array Receiver

MCSNet: A Radio Frequency Interference Suppression Network for Spaceborne SAR Images via Multi-Dimensional Feature Transform

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