ArticleSensors (Basel, Switzerland)2022
An Anti-Jamming Method against Interrupted Sampling Repeater Jamming Based on Compressed Sensing.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- An Anti-Interrupted-Sampling Repeater Jamming Method Based on Simulated Annealing-2-Optimization Parallel Optimization of Waveforms and Fractional Domain Extraction.Sensors (Basel, Switzerland) · 2025Article
- A Novel Method for Interferometric Phase Estimation in Dual-Channel Cancellation.Sensors (Basel, Switzerland) · 2022Article
- Research on Dual-Frequency Electromagnetic False Alarm Interference Effect of a Typical Radar.Sensors (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors.
Funding
Abstract
Interrupted sampling repeater jamming (ISRJ) is an attracted coherent jamming method to inverse synthetic aperture radar (ISAR) in the past decades. By means of different jamming parameters settings, realistic dense false targets can be formed around the true target. This paper proposed an adaptive anti-jamming method against ISRJ by adjusting the number of measurements based on compressed sensing (CS). The jamming signal is energy concentrated and segmented sparse in the frequency domain. The measurements number of the reconstructed target signal and the jamming signal is different. According to the restricted isometry property (RIP) condition of CS theory, signal reconstructing performance depends on the number of measurements that varies with the sparsity of the vector. Thus, the jamming signal is suppressed, and the true target signal is retained by altering the measurements number of echo signals. Besides, the two-dimensional (2D) anti-jamming method is derived in detail. The anti-jamming effect is analyzed with different signal-to-noise ratios (SNR), sampling rates, and jam-to-signal ratios (JSR). Simulations prove the effectiveness of the proposed anti-jamming method.
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