Contributions to Proceedings:
H. Groll, E. Zöchmann, P. Gerstoft, C. Mecklenbräuker:
"Global Robustness Characterization of DOA Estimators by Breakdown Detection";
in: "Computational Advances in Multiple Sensor Adaptive Processing (CAMSAP 2019)",
issued by: IEEE Xplore;
We characterize the global robustness of direction of arrival (DOA) estimators against additive outliers in the sensor array data by detection of the estimatorīs breakdown. The pro- posed method contaminates a given proportion of the sensor array data and observes the corresponding DOA estimate. An oracle compares the DOA estimation error magnitude with a chosen tolerance. The oracle detects that the DOA estimate has broken down when the magnitude of error exceeds the tolerance. The estimatorīs robustness is thus globally characterized in a robustness operating characteristic (ROC) curve which shows the true positive rate of detected breakdowns versus the false positive rate. The ROC curve is evaluated for several DOA estimators: conventional, phase-only, and weighted phase-only beamformer, as well as least absolute deviation based DOA estimator.
robust array processing, DOA estimation, least absolute deviation, phase-only processing, breakdown
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
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