Detail publikace

Global Robustness Characterization of DOA Estimators by Breakdown Detection

GROLL, H. ZÖCHMANN, E. GERSTOFT, P. MECKLENBRÄUKER, C.

Originální název

Global Robustness Characterization of DOA Estimators by Breakdown Detection

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

We characterize the global robustness of direction of arrival(DOA) estimators against additive outliers in the sensor ar-ray data by detection of the estimator’s breakdown. The pro-posed method contaminates a given proportion of the sensorarray data and observes the corresponding DOA estimate. Anoracle compares the DOA estimation error magnitude with achosen tolerance. The oracle detects that the DOA estimatehas broken down when the magnitude of error exceeds thetolerance. The estimator’s robustness is thus globally charac-terized in a robustness operating characteristic (ROC) curvewhich shows the true positive rate of detected breakdownsversus the false positive rate. The ROC curve is evaluatedfor several DOA estimators: conventional, phase-only, andweighted phase-only beamformer, as well as least absolutedeviation based DOA estimator.

Klíčová slova

robust array processing; DOA estimation; least absolute deviation; phase-only processing; breakdown

Autoři

GROLL, H.; ZÖCHMANN, E.; GERSTOFT, P.; MECKLENBRÄUKER, C.

Vydáno

15. 12. 2019

ISBN

978-1-7281-5549-4

Kniha

Proceedings of 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

Strany od

36

Strany do

40

Strany počet

5

URL

https://ieeexplore.ieee.org/document/9022468

BibTex

@inproceedings{BUT170010,
  author="Herbert {Groll} and Erich {Zöchmann} and Peter {Gerstoft} and Christoph {Mecklenbräuker}",
  title="Global Robustness Characterization of DOA Estimators by Breakdown Detection",
  booktitle="Proceedings of 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)",
  year="2019",
  pages="36--40",
  doi="10.1109/CAMSAP45676.2019.9022468",
  isbn="978-1-7281-5549-4",
  url="https://ieeexplore.ieee.org/document/9022468"
}