A novel ECCM scheme against interrupted-sampling repeater jamming using intra-pulse dual-parameter agile waveform

Liu, Zhixing; Quan, Yinghui; Du, Siyu; Wu, Yan; Sha, Minghui; Xing, Mengdao

doi:10.1016/j.dsp.2022.103652

Cited by 16 publications

(3 citation statements)

References 22 publications

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“…While in [16], the interference suppression filter is constructed by extracting interference-free segments in the received signal using the stacked bidirectional gated recurrent unit network (SBiGRU) method. The received signal is subtracted from the interference signal reconstructed using the estimated interference parameters to achieve suppression of the interference [17], [18]. A fractional Fourier transform (FrFT) domain filter used to suppress ISRJ was developed which corresponds to intrapulse dual-parameter agile waveform [19].…”

Section: Related Workmentioning

confidence: 99%

Interrupted Sampling Repeater Jamming Recognition and Suppression Method Based on DBSCAN Algorithm

Qi,

Zhiyi,

Shaoren

2024

IEEE Access

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The interrupted sampling repeater jamming (ISRJ) is a type of coherent jamming that can not only improve the detection threshold of adjacent range cells but also induce the radar system to track a false target. In order to suppress ISRJ, we have developed an interference identification and suppression method based on a clustering algorithm. First, we obtain the time-frequency (TF) domain matrix by applying the short-time Fourier transform (STFT) to the received signal containing the target echo and ISRJ. Then, the time-frequency domain matrix is subjected to threshold decision to obtain a series of over-threshold points which are then processed by the density-based spatial clustering of applications with noise (DBSCAN) algorithm to form a series of clusters. By analyzing the number of points of these clusters, we can identify whether the cluster corresponds to the target echo or ISRJ. Recognition mainly depends on the number of cluster points and the corresponding point threshold allowing for good recognition without the need for accurate estimation of ISRJ parameters. An accurate time-frequency domain filter is constructed based on the recognition results to avoid damaging the spectral structure of the target echo while suppressing the interference. We simulate the method and verify the effect of different combinations of input signal to noise ratio (SNR) and input signal to jamming ratio (SJR) on the performance of the method through Monte Carlo simulation. The simulation results demonstrate that this method has a good suppression effect for the three ISRJ modes under various combinations of SNR and SJR.INDEX TERMS interrupted sampling repeater jamming (ISRJ), interference suppression, linear frequency modulation (LFM) waveform, density-based spatial clustering of applications with noise (DBSCAN), shorttime Fourier transform (STFT)

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Section: Related Workmentioning

confidence: 99%

Interrupted Sampling Repeater Jamming Recognition and Suppression Method Based on DBSCAN Algorithm

Qi,

Zhiyi,

Shaoren

2024

IEEE Access

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“…Many methods have been devoted to anti-ISRJ target detection, mainly including agile waveform and mismatched filter design, jamming reconstruction and canceled, and bandpass filter design. Agile waveform and mismatch filter design-based antijamming method first optimizes radar transmission waveforms such as intrapulse frequency agility [19], [20], [21] and phase encoding [22], [23] to improve the initiative, then designs mismatch filter to achieve jamming suppression. However, this method relies on accurate estimation of jamming parameters such as sampling period and duty cycle, and may result in jamming residual or target energy loss.…”

Section: Introductionmentioning

confidence: 99%

“…The jamming reconstruction cancellation method first estimates the jammer sampling width and period, then the jamming signal is reconstructed and eliminated iteratively [24], [25]. Obviously, its antijamming performance heavily depends on the accuracy of jamming parameter estimation and signal reconstruction, and iterative optimization is required to reduce the jamming residue caused by parameter estimation errors [20]. The bandpass filter design-based This work is licensed under a Creative Commons Attribution 4.0 License.…”

Section: Introductionmentioning

confidence: 99%

Deep Neural Network-Based Interrupted Sampling Deceptive Jamming Countermeasure Method

Quan

Sha³

et al. 2022

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

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With the development of digital radio frequency memory technology, the main-lobe deception jamming represented by interrupted-sampling repeater jamming (ISRJ) poses a severe challenge to radar. Traditional antijamming methods usually need to estimate the jamming parameters and have the risk of losing target information. For the above problems, this article proposes a deep neural network-based ISRJ recognition and antijamming target detection method which consists of four serial steps. First, the proposed method obtains the time-frequency image set of radar echoes by short-time Fourier transform (STFT). Second, a youonly-look-once (YOLO) model is used to detect the jammed echoes, and the positioning result is automatically corrected to avoid losing the target information. Third, the anti-ISRJ target ranging and velocity measurement datasets are constructed according to the positioning result. Finally, an anti-ISRJ target detection model based on the convolution neural network (CNN) is designed to extract features along different dimensions and obtain the range and velocity of the real targets. Experiments on simulated and measured datasets show that the proposed method has better antijamming detection performance than the traditional method, and does not need to estimate the jamming parameters.

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Interrupted-sampling multi-strategy forwarding jamming with amplitude constraints based on simultaneous transmission and reception technology

Xiao,

Wei,

Sun

2024

Digital Signal Processing

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A novel ECCM scheme against interrupted-sampling repeater jamming using intra-pulse dual-parameter agile waveform

Cited by 16 publications

References 22 publications

Interrupted Sampling Repeater Jamming Recognition and Suppression Method Based on DBSCAN Algorithm

Interrupted Sampling Repeater Jamming Recognition and Suppression Method Based on DBSCAN Algorithm

Deep Neural Network-Based Interrupted Sampling Deceptive Jamming Countermeasure Method

Interrupted-sampling multi-strategy forwarding jamming with amplitude constraints based on simultaneous transmission and reception technology

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