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Comments on “Enhanced PUMA for Direction-of-Arrival Estimation and Its Performance Analysis”
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0002-7957-3711
KTH Royal Inst Technol, Dept Elect Engn, S-10044 Stockholm, Sweden.
2017 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 65, no 22, p. 6113-6114Article in journal, Editorial material (Other academic) Published
Abstract [en]

We show that the recently proposed (enhanced) principal-singular-vector utilization for modal analysis (PUMA) estimator for array processing [C. Qian, L. Huang, N. Sidiropoulos, and H. C. So, "Enhanced PUMA for direction-of-arrival estimation and its performance analysis," IEEE Trans. Signal Process., vol. 64, no. 16, pp. 4127-4137, Aug. 2016], minimizes the same criterion function as the well-established method of direction estimation (MODE) estimator.

Place, publisher, year, edition, pages
2017. Vol. 65, no 22, p. 6113-6114
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-335106DOI: 10.1109/TSP.2017.2742982ISI: 000411680100021OAI: oai:DiVA.org:uu-335106DiVA, id: diva2:1161654
Funder
Swedish Research Council, 621-2014-5874 2015-05484
Available from: 2017-11-30 Created: 2017-11-30 Last updated: 2018-03-21Bibliographically approved

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Zachariah, DaveStoica, Petre

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