Prior-Exploiting Direction-of-Arrival Algorithm For Partially Uncorrelated Source Signals
2013 (English)In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE conference proceedings, 2013, 3972-3976 p.Conference paper (Refereed)
In certain direction-of-arrival (DOA) estimation scenarios some of the source directions are known to the operator even before measurements are acquired. It is then undesirable to use regular DOA-algorithms which waste data-samples estimating the known directions. Additionally, in some applications it is known that the signals emanating from the known directions are uncorrelated with those coming from the unknown directions. In this article we present a novel algorithm which exploits the combination of such prior knowledge in a manner more efficient (in terms of accuracy) than any algorithm known to the authors. Through numerical Monte-Carlo simulations we show the estimator to attain the theoretical accuracy bound for significantly lower signal-to-noise ratios than current state-of-the-art methods. Additionally we show the proposed algorithm to treat the stricter problem of entirely uncorrelated emitters better than current state of the art.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 3972-3976 p.
, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Accuracy, Arrays, Covariance matrix, Direction of arrival estimation, Signal processing algorithms
IdentifiersURN: urn:nbn:se:kth:diva-122178DOI: 10.1109/ICASSP.2013.6638404ISI: 000329611504026ScopusID: 2-s2.0-84890462882ISBN: 978-1-4799-0356-6OAI: oai:DiVA.org:kth-122178DiVA: diva2:621216
2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013; Vancouver, BC; Canada; 26 May 2013 through 31 May 2013
FunderEU, FP7, Seventh Framework Programme, 228024Swedish Research Council, 621-2011-5847
QC 201402242013-05-142013-05-142014-02-24Bibliographically approved