研究目的
To develop an incremental algorithm for complex L1-PCA for online direction-of-arrival estimation in the presence of jamming and corrupted data.
研究成果
The proposed incremental complex L1-PCA algorithm offers low computational cost and strong resistance to jamming, providing accurate DoA estimation in streaming scenarios with corrupted data, outperforming existing methods in terms of RMSE and efficiency.
研究不足
The method assumes a fixed number of sources K and may require parameter tuning (e.g., threshold τ). It is evaluated in simulations and may need validation with real-world data. Computational efficiency is compared but could be further optimized.
1：Experimental Design and Method Selection:
The study involves designing an incremental algorithm for complex L1-PCA to handle streaming snapshots for DoA estimation, comparing it with batch methods and other incremental techniques like SVD, ISVD, OR-PCA, and GRASTA.
2：Sample Selection and Data Sources:
Simulated snapshots from a uniform linear antenna array with D=6 elements, N=200 snapshots, including corrupted snapshots with jamming signals.
3：List of Experimental Equipment and Materials:
MATLAB software for simulations, computer with Intel Core i7-6700 processor and 32GB RAM.
4：Experimental Procedures and Operational Workflow:
Initialize with a small batch of snapshots, process each new snapshot incrementally, compute reliability, update the L1-PCA basis if reliable, and remove the least reliable snapshot to maintain fixed computational cost.
5：Data Analysis Methods:
Performance evaluated using root-mean-square-error (RMSE) and computation time over multiple realizations.
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