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Open AccessArticle

DRFM-Based Repeater Jamming Reconstruction and Cancellation Method with Accurate Edge Detection

by Bowen Han, Xiaodong Qu, Xiaopeng Yang, Wolin Li and Zhengyan Zhang

Remote Sens. 2023, 15(7), 1759; https://doi.org/10.3390/rs15071759 - 24 Mar 2023

Cited by 22 | Viewed by 4503

Digital radio frequency memory (DRFM) based repeater jamming can create false targets, which can lead to a loss of situational awareness, misidentification of targets, and decreased overall performance of the radar system. Traditional jamming suppression methods do not give due importance to the accurate estimation of the jamming edge, resulting in jamming residual and poor anti-jamming performance. To tackle this issue, this paper explores the reason and impact of inaccurate jamming edge estimation and proposes a DRFM-based repeater jamming reconstruction and cancellation method with accurate edge detection. In the proposed method, firstly, multiple jamming parameters are obtained by computing the short-time fractional Fourier transformation (STFRFT) spectrogram of the received signal. To avoid jamming residue, the proposed method estimates the accurate jamming edges by the joint use of the difference of box (DOB) filters and time domain deconvolution (TDDC) curves. Numerical simulations and experiments are conducted to evaluate the algorithm’s effectiveness in countering smeared spectrum (SMSP) and interrupted sampling repeater jamming (ISRJ). The results demonstrate its superior jamming reconstruction and suppression performance than other methods. Full article

(This article belongs to the Special Issue Advanced Radar Signal Processing and Applications)

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14 pages, 2920 KB

Open AccessTechnical Note

Robust Suppression of Deceptive Jamming with VHF-FDA-MIMO Radar under Multipath Effects

by Yibin Liu, Chunyang Wang, Jian Gong, Ming Tan and Geng Chen

Remote Sens. 2022, 14(4), 942; https://doi.org/10.3390/rs14040942 - 15 Feb 2022

Cited by 15 | Viewed by 2337

Abstract

Frequency diverse array multiple-input multiple-output (FDA-MIMO) radar has received a lot of attention due to the advantages of waveform diversity. Suppression of mainlobe deceptive jamming can be effectively achieved with the degree of freedom (DOF) in the range domain. However, the existing research mainly focuses on non-coherent signals. The echo signal of VHF-FDA-MIMO radar for low elevation has its own unique characteristics. False targets cannot be suppressed with conventional beamforming methods. Thus, a signal model for VHF-FDA-MIMO radar subjected to deceptive jamming is established. The reconstruction of the covariance matrix and the estimation of the steering vector are implemented with the generalized MUSIC algorithm. In addition, a matching Capon reconstruction method is proposed to finish the robust suppression of false targets for the problem of self-cancellation in the absence of a priori information. Finally, the beampattern and performance curves of different methods are compared. The simulation results show that the methods can be effectively applied to the suppression of deceptive jamming in VHF-FDA-MIMO radar under the multipath effect. Full article

(This article belongs to the Special Issue Advances in Joint Radar-Communication Systems, Multi-Carrier Radars, Passive Radar Networks, and Waveform Design)

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