Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/88846
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Professional Education and Executive Development | - |
dc.creator | Chen, Y | - |
dc.creator | Ko, AHC | - |
dc.creator | Tam, WS | - |
dc.creator | Kok, CW | - |
dc.creator | So, HC | - |
dc.date.accessioned | 2020-12-22T01:08:22Z | - |
dc.date.available | 2020-12-22T01:08:22Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/88846 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. | en_US |
dc.rights | The following publication Y. Chen, A. H. C. Ko, W. S. Tam, C. W. Kok and H. C. So, "Non-Iterative DOA Estimation Using Discrete Fourier Transform Interpolation," in IEEE Access, vol. 7, pp. 55620-55630 is available at https://dx.doi.org/10.1109/ACCESS.2019.2913747 | en_US |
dc.rights | Posted with permission of the publisher | en_US |
dc.subject | Direction-of-arrival | en_US |
dc.subject | Single snapshot | en_US |
dc.subject | Interpolation | en_US |
dc.subject | Discrete fourier transform | en_US |
dc.title | Non-Iterative DOA estimation using discrete fourier transform interpolation | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 55620 | - |
dc.identifier.epage | 55630 | - |
dc.identifier.volume | 7 | - |
dc.identifier.doi | 10.1109/ACCESS.2019.2913747 | - |
dcterms.abstract | A fast and accurate non-iterative direction-of-arrival (DOA) estimation algorithm for multiple targets in additive white Gaussian noise is devised in this paper. The proposed estimator makes use of the two highest magnitudes discrete Fourier transform (DFT) coefficients of the input data and two of their associated neighboring bins, resulting in a deterministic complexity of O(N (1 + log(N))) with N being the number of sensors. The bias and mean squares error of the DOA estimates are analyzed. The simulation results are presented to validate the correctness of theoretical derivation and demonstrate the superiority of the devised estimator over several conventional DOA estimators. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE access, 2019, , v. 7, p. 55620-55630 | - |
dcterms.isPartOf | IEEE access | - |
dcterms.issued | 2019 | - |
dc.identifier.isi | WOS:000467608700001 | - |
dc.identifier.eissn | 2169-3536 | - |
dc.description.validate | 202012 bcrc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Chen_Non-Iterative_DOA_Discrete.pdf | 4.4 MB | Adobe PDF | View/Open |
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