Anti-interrupted Sampling Repeater Jamming Method Based on down-sampling Processing Blind Source Separation

LIU Yipin; YU Lei; WEI Yinsheng

doi:10.11999/JEIT250193

Volume 47 Issue 8

Aug. 2025

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LIU Yipin, YU Lei, WEI Yinsheng. Anti-interrupted Sampling Repeater Jamming Method Based on down-sampling Processing Blind Source Separation[J]. Journal of Electronics & Information Technology, 2025, 47(8): 2521-2534. doi: 10.11999/JEIT250193

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LIU Yipin, YU Lei, WEI Yinsheng. Anti-interrupted Sampling Repeater Jamming Method Based on down-sampling Processing Blind Source Separation[J]. Journal of Electronics & Information Technology, 2025, 47(8): 2521-2534. doi: 10.11999/JEIT250193

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Anti-interrupted Sampling Repeater Jamming Method Based on down-sampling Processing Blind Source Separation

doi: 10.11999/JEIT250193 cstr: 32379.14.JEIT250193

1.
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
2.
Key Laboratory of Marine Environmental Monitoring and Information Processing, Ministry of Industry and Information Technology, Harbin 150001, China

Received Date: 2025-03-24
Rev Recd Date: 2025-07-17

Available Online: 2025-07-25

Publish Date: 2025-08-27

Abstract

Abstract

Objective Advancements in radar jamming technology have made coherent jamming generated by Digital Radio Frequency Memory (DRFM) a significant threat to radar detection. This type of jamming exhibits considerable spectral overlap with target echo signals and shares similar time-frequency characteristics. Even after matched filtering is applied to the received signal, the jamming can still achieve high gain. Among various forms, Interrupted Sampling Repeater Jamming (ISRJ) presents both suppression and deception effects, combined with high agility and diversity, posing a considerable challenge to radar detection systems. Existing ISRJ suppression methods face several limitations, including reliance on prior knowledge of jamming parameters, reduced robustness against ISRJ style variations, and the need for advance detection of ISRJ forwarding strategies. Blind Source Separation (BSS) can extract source signals based solely on the received mixture, without requiring prior information about the source or transmission parameters. BSS is widely applied in radar anti-jamming scenarios due to its high robustness. However, as ISRJ is primarily deployed for self-defense jamming, conventional BSS methods lack spatial degrees of freedom and cannot effectively suppress such interference. To address this limitation, this study proposes a down-sampling BSS method for ISRJ suppression. By applying dechirping and down-sampling to the echo signal, varying the down-sampling retention positions produces multiple down-sampled output signals. Theoretical analysis demonstrates that the jamming and target signals in these multi-channel down-sampled outputs satisfy the linear mixing model required for BSS. BSS is subsequently applied to separate the ISRJ and target components. This study introduces BSS into ISRJ suppression, providing a highly robust approach that does not depend on prior knowledge, with theoretical validation supporting the method. Methods In self-defense ISRJ scenarios, the jamming and target share the same azimuth angle, resulting in a loss of spatial freedom in the received signal. Therefore conventional BSS methods based on linear instantaneous mixing models are no longer applicable. When all source signals originate from the same azimuth, the rank of the receiving array manifold matrix reduces to one, causing the array receiving model to degenerate into an effective single-channel system. However, BSS requires multiple mixed signals to perform signal separation. To overcome this limitation, this study proposes a down-sampling BSS method for ISRJ suppression. The approach begins by applying oversampling to the received signal, followed by dechirp processing of the single-channel echo signal that contains both jamming and target components. Through conjugate multiplication of the echo signal with a reference signal, both the ISRJ and target echo are converted into sinusoidal signals with fixed frequencies and time-domain windowing characteristics. Subsequently, the signal undergoes down-sampling, during which multiple down-sampled output signals are generated by varying the retention positions of the sampled data. This process effectively restores the degrees of freedom required for separation. Theoretical analysis confirms that the ISRJ and target components in the down-sampled output signals satisfy the linear mixing model necessary for BSS processing. The multi-channel down-sampled signals are then used as input for BSS, enabling the separation of jamming and target components. Pulse compression is performed via Fourier transform to enhance detection resolution. Finally, target detection is conducted on each separated component to isolate the jamming signals and recover the target echoes, thereby achieving anti-jamming performance. Results and Discussions The key innovation of the proposed method is the application of BSS to ISRJ suppression, eliminating the requirement for precise estimation of ISRJ parameters and demonstrating high robustness. Furthermore, a single-frequency, single-channel BSS approach based on down-sampling is presented, which has potential application beyond jamming suppression. Simulation results confirm that the proposed method effectively separates ISRJ from the target signal (Fig. 7) and suppresses multiple ISRJ types, including direct forwarding ISRJ (Fig. 5), repeated forwarding ISRJ (Fig. 7), and frequency-shift forwarding ISRJ (Fig. 6). Comparative experiments demonstrate that this method resolves the problem of degraded suppression performance caused by the jamming azimuth in existing BSS approaches. Compared with conventional ISRJ suppression algorithms, the proposed method maintains stable performance regardless of ISRJ slice width or jamming power. Moreover, it achieves superior output Signal-to-Interference-plus-Noise Ratio (SINR), confirming its effectiveness in enhancing anti-jamming capabilities. Conclusions To address the threat posed by ISRJ to radar systems, this study proposes an ISRJ suppression method based on down-sampling BSS. By applying down-sampling and dechirp processing to the received signal, multiple signals are generated, and the Joint Approximate Diagonalization of Eigenmatrices (JADE) BSS algorithm is employed to separate the jamming and target components. This method overcomes the dependence of conventional BSS approaches on spatial separability and remains effective in self-defense jamming scenarios where the jamming and target share the same azimuth. The proposed method demonstrates effective suppression of various ISRJ types, including direct forwarding, repeated forwarding, and frequency-shift forwarding. Compared with existing ISRJ suppression techniques, this approach provides improved anti-jamming performance, as it is largely unaffected by ISRJ slice width, does not require prior knowledge of jamming parameters, and exhibits minimal sensitivity to variations in Signal-to-Interference Ratio (SIR).
- Radar anti-jamming,
- Interrupted Sampling Repeater Jamming (ISRJ),
- Blind Source Separation (BSS),
- Down-sampling

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References(38)

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