@InProceedings{7760442,
  author = {A. H. Moore and C. Evers and P. A. Naylor},
  booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
  title = {2D direction of arrival estimation of multiple moving sources using a spherical microphone array},
  year = {2016},
  pages = {1217-1221},
  abstract = {Direction of arrival estimation using a spherical microphone array is an important and growing research area. One promising algorithm is the recently proposed Subspace Pseudo-Intensity Vector method. In this contribution the Subspace Pseudo-Intensity Vector method is combined with a state-of-the-art method for robustly estimating the centres of mass in a 2D histogram based on matching pursuits. The performance of the improved Subspace Pseudo-Intensity Vector method is evaluated in the context of localising multiple moving sources where it is shown to outperform competing methods in terms of clutter rate and the number of missed detections whilst remaining comparable in terms of localisation accuracy.},
  keywords = {acoustic signal processing;clutter;direction-of-arrival estimation;iterative methods;microphone arrays;source separation;vectors;2D direction of arrival estimation;spherical microphone array;robust centre of mass estimation;2D histogram;matching pursuits;improved subspace pseudointensity vector method;performance evaluation;multiple moving source localisation;clutter rate;Direction-of-arrival estimation;Microphone arrays;Harmonic analysis;Histograms;Signal processing algorithms;Clutter;direction of arrival estimation;localisation;tracking;spherical harmonic domain;subspace pseudo-intensity vectors;PIV},
  doi = {10.1109/EUSIPCO.2016.7760442},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570256100.pdf},
}

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