An ADS-B Signal De-Interleaving Algorithm Based on VMD-SSA-ICA
ZHANG Zhaoyue
DONG Guanting
BAO Shuida
Abstract：In view of the problems that successful efficiency of de-interleaving is low under conditions of signal-to-noise ratio being low and relative delay being low for Automatic Dependent Surveillance-Broad-cast signals,this paper proposes a method of ADS-B signal de-interweaving based on VMD-SSA-ICA.First-ly,the interleaved signals are decomposed by the Variable Mode Decomposition(VMD).Secondly,the sin-gular spectrum analysis(SSA)is adopted to reconstruct the modes,eliminate mode aliasing,effectively an-alyzing the potential structure of the ADS-B signal.Thirdly,the Independent Component Analysis algo-rithm is used to perform de-interleaving.Lastly,the Dn-CNN neural network is used to denoise the output signal,achieving the integration of signal separation and denoising.The experimental results show that this method achieves signal decoding in a range of success rates from 60.92%to 99.94%respectively under condition of 8 to 15 dB signal-to-noise ratios.The experiments on the relative delay of different signals show that the algorithm maintains stable de-interleaving performance even with a relative delay of 0 to 10 ms.The method significantly improves the robustness and anti-interference ability of ADS-B signal de-interleaving algorithm.
Keywords：ADS-B signalsignal interleavingmodal decompositionindependent compositional analysisVMD-SSA-ICA
Publication Date：2026-02-28
Online Publishing Date：2026-03-13(First online date of this platform, not the publication date of the document)
Pages：8( 41-47,57 )