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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/5698F30B-0C13-48EB-B532-F2C368A03F84 | ||
| Year | 2017 | ||
| Type of Item | Conference Full Paper | ||
| License |
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| Bibliographic Citation | P. P. Markopoulos, N. Tsagkarakis, D. A. Pados and G. N. Karystinos, "Direction-of-arrival estimation by L1-norm principal components," in IEEE International Symposium on Phased Array Systems and Technology, 2017. doi: 10.1109/ARRAY.2016.7832585 https://doi.org/10.1109/ARRAY.2016.7832585 | ||
| Appears in Collections |
Traditional subspace-based methods for direction-of-arrival (DoA) estimation rely on the L2-norm principal components (L2-PCs) of the sensor-array data. In view of the well-documented sensitivity of L2-PCs against outliers among the processed data (occurring in this case, e.g., due to intermittent directional jamming), we propose instead DoA estimation using outlier-resistant L1-norm principal components (L1-PCs) of the recorded snapshots. Our simulation studies illustrate that the proposed method exhibits (i) similar performance to conventional L2-PC-based DoA estimation, when the snapshot-data are nominal/clean, and (ii) significantly superior performance when part of the snapshots are corrupted.
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