URI | http://purl.tuc.gr/dl/dias/5698F30B-0C13-48EB-B532-F2C368A03F84 | - |
Identifier | https://ieeexplore.ieee.org/document/7832585/ | - |
Identifier | https://doi.org/10.1109/ARRAY.2016.7832585 | - |
Language | en | - |
Title | Direction-of-arrival estimation by L1-norm principal components | en |
Creator | Markopoulos, Panos | en |
Creator | Tsagkarakis Nicholas | en |
Creator | Pados Dimitris A. | en |
Creator | Karystinos Georgios | en |
Creator | Καρυστινος Γεωργιος | el |
Publisher | Institute of Electrical and Electronics Engineers | en |
Content Summary | 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. | en |
Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2018-05-29 | - |
Date of Publication | 2017 | - |
Subject | Data contamination | en |
Subject | Direction-of-arrival estimation | en |
Subject | Faulty measurements | en |
Subject | L1 norm | en |
Subject | L2 norm | en |
Subject | Outlier resistance | en |
Subject | Principal-component analysis | en |
Subject | Singular-value decomposition | en |
Subject | Subspace data processing | en |
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 | en |