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Direction of arrival estimation using adaptive directional time-frequency distributions
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0002-6855-5868
2016 (English)In: Multidimensional systems and signal processing, ISSN 0923-6082, E-ISSN 1573-0824, 1-19 p.Article in journal (Refereed) Published
Abstract [en]

Time-frequency distributions (TFDs) allow direction of arrival (DOA) estimation algorithms to be used in scenarios when the total number of sources are more than the number of sensors. The performance of such time–frequency (t–f) based DOA estimation algorithms depends on the resolution of the underlying TFD as a higher resolution TFD leads to better separation of sources in the t–f domain. This paper presents a novel DOA estimation algorithm that uses the adaptive directional t–f distribution (ADTFD) for the analysis of close signal components. The ADTFD optimizes the direction of kernel at each point in the t–f domain to obtain a clear t–f representation, which is then exploited for DOA estimation. Moreover, the proposed methodology can also be applied for DOA estimation of sparse signals. Experimental results indicate that the proposed DOA algorithm based on the ADTFD outperforms other fixed and adaptive kernel based DOA algorithms.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2016. 1-19 p.
Keyword [en]
Adaptive directional Time-frequency distribution, Direction of arrival estimation, High resolution TFDs, Instantaneous frequency estimation, MUSIC, Algorithms, Frequency estimation, Robustness (control systems), Source separation, Time-frequency distributions, Direction of arrival
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-197217DOI: 10.1007/s11045-016-0435-yScopusID: 2-s2.0-84975231543OAI: diva2:1052008

QC 20161201

Available from: 2016-12-05 Created: 2016-11-30 Last updated: 2016-12-05Bibliographically approved

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Jansson, Magnus
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