研究目的
To solve the problem in Automatic Identification System (AIS) that the signal in the target slot cannot be correctly received due to partial overlap of signals in adjacent time slots.
研究成果
The proposed GSVD-OP beamformer effectively suppresses interference and noise in partially overlapped AIS signals, outperforming traditional algorithms like LCMV and JADE, and shows better robustness and convergence at higher SNRs and lower oversampling ratios.
研究不足
The algorithm's performance may be affected by estimation errors in subspace estimation, especially at lower SNRs. It is specifically designed for AIS environments and may not generalize to other systems without adaptation.
1：Experimental Design and Method Selection:
The paper proposes a beamforming algorithm based on GSVD and orthogonal projection. It uses GSVD to estimate the signal subspace and orthogonal projection to suppress interference and noise, followed by MESP beamforming to maximize target signal power.
2：Sample Selection and Data Sources:
AIS signals modulated by GMSK are used, with a symbol rate of 9600 bit/s, BT=
3：4, and information sequence length of 256 bits. One target signal and two interference signals with equal power are simulated. List of Experimental Equipment and Materials:
A uniform linear array (ULA) with 8 elements spaced half a wavelength apart is used.
4：Experimental Procedures and Operational Workflow:
Signals are received by the array, processed using GSVD for subspace estimation, orthogonal projection for interference and noise cancellation, and MESP beamforming for signal enhancement. Simulations are conducted with varying SNR and oversampling ratios, with 300 Monte Carlo trials.
5：Data Analysis Methods:
Performance is evaluated using output SINR and beampatterns, comparing with LCMV, JADE, and GSVD algorithms.
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