Chinese Journal of Ship Research, Volume. 19, Issue 6, 293(2024)

A separation algorithm for satellite-based AIS received signals based on SSA and RobustICA

Jiansen ZHAO, Zhihao TAN, Haiyan DUAN, Xia LIU, and Shengzheng WANG
Author Affiliations
  • Merchant Marine Academy, Shanghai Maritime University, Shanghai 201306, China
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    Objective

    In high-density traffic areas, ship collision automatic identification system (AIS) signals often occur, so high requirements are put forward for the separation performance and real-time performance of the receiver.

    Methods

    For mixed signals with different signal-to-noise ratios (SNR), a separation algorithm S-RICA based on singular spectrum analysis (SSA) and robust independent component analysis (RobustICA) is proposed. The Hankel matrix of the single-channel AIS signal is processed by singular value decomposition and reconstructed by time series respectively, SSA is used to replace whitening pre-processing in traditional independent component analysis (ICA), and the optimal step size of each iteration of the separation matrix is calculated using the kurtosis contrast function to quickly obtain the optimal separation matrix.

    Results

    The simulation results show that the signal mean squared error (SMSE) value of S-RICA is stable at about 1.5 when the signal length changes, while the SMSE of fast independent component analysis (FastICA) is very unstable. S-RICA has a bit error rate of 0.97×10-2 to 1.97×10-2 at a SNR of 0 dB to 9 dB, an order of magnitude improvement over RobustICA and FastICA, and an improvement of 4 dB to 6 dB over S-FICA at an SNR of 0 dB to 7 dB. The average calculation time and number of iterations of S-RICA are about 18.5 ms and 13.6 times respectively, showing obvious advantages.

    Conclusions

    When the sample size and SNR change, S-RICA shows better separation performance. The results of this study have certain reference value for the application of S-RICA in future satellite-based AIS systems.

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    Jiansen ZHAO, Zhihao TAN, Haiyan DUAN, Xia LIU, Shengzheng WANG. A separation algorithm for satellite-based AIS received signals based on SSA and RobustICA[J]. Chinese Journal of Ship Research, 2024, 19(6): 293

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    Paper Information

    Category: Weapon, Electronic and Information System

    Received: Jul. 15, 2023

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03464

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