dc.contributor.author |
Shafuda, F
|
|
dc.contributor.author |
McDonald, Andre M
|
|
dc.contributor.author |
Van Wyk, MA
|
|
dc.contributor.author |
Versfeld, J
|
|
dc.date.accessioned |
2021-02-12T09:13:15Z |
|
dc.date.available |
2021-02-12T09:13:15Z |
|
dc.date.issued |
2019-11 |
|
dc.identifier.citation |
Shafuda, F., McDonald, A.M., Van Wyk, M. & Versfeld, J. 2019. Algebraic analysis of Toeplitz decorrelation techniques for direction-of-arrival estimation. http://hdl.handle.net/10204/11752 . |
en_ZA |
dc.identifier.isbn |
978-1-7281-3055-2 |
|
dc.identifier.issn |
2159-2160 |
|
dc.identifier.uri |
DOI: 10.1109/PrimeAsia47521.2019.8950745
|
|
dc.identifier.uri |
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8950745
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/11752
|
|
dc.description.abstract |
In this paper, we investigate the correlation Toeplitz (CTOP) and averaging Toeplitz (AVTOP) decorrelation techniques, as applied towards direction of arrival (DOA) estimation of coherent narrowband sources with the multiple signals classi cation (MUSIC) algorithm. Numerical studies suggest that CTOP leads towards more accurate DOA estimation than AVTOP; however, no theoretical motivation for this performance gap has yet been presented. In this paper, we derive expressions for the Toeplitz matrices produced by the CTOP and AVTOP techniques, for a scenario involving a three-element uniform linear array and two coherent source signals in additive white Gaussian noise. These expressions lead to the claim that the accuracy of the CTOP technique can be attributed to its retention of source DOA information as independent sums (i.e. in a superposition form) in the Toeplitz matrix. The claim is supported by an investigation of the MUSIC spectra corresponding to the distinct Toeplitz matrices. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8950745 |
en_US |
dc.relation.uri |
DOI: 10.1109/PrimeAsia47521.2019.8950745 |
en_US |
dc.source |
Institute of Electrical and Electronics Engineers (IEEE) Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, Bangkok, Thailand, 11-14 November 2019 |
en_US |
dc.subject |
Toeplitz decorrelation |
en_US |
dc.subject |
Multiple signal classification |
en_US |
dc.subject |
Direction of arrival estimation |
en_US |
dc.subject |
Angle of arrival estimation |
en_US |
dc.title |
Algebraic analysis of Toeplitz decorrelation techniques for direction-of-arrival estimation |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
49-52 |
en_US |
dc.description.note |
Copyright: 2019 IEEE. This is the abstract version of the work. |
en_US |
dc.description.cluster |
Defence and Security |
|
dc.description.impactarea |
Information Security Centre |
en_US |
dc.identifier.apacitation |
Shafuda, F., McDonald, A. M., Van Wyk, M., & Versfeld, J. (2019). Algebraic analysis of Toeplitz decorrelation techniques for direction-of-arrival estimation. http://hdl.handle.net/10204/11752 |
en_ZA |
dc.identifier.chicagocitation |
Shafuda, F, Andre Martin McDonald, MA Van Wyk, and J Versfeld. "Algebraic analysis of Toeplitz decorrelation techniques for direction-of-arrival estimation." <i>Institute of Electrical and Electronics Engineers (IEEE) Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, Bangkok, Thailand, 11-14 November 2019</i> (2019): http://hdl.handle.net/10204/11752 |
en_ZA |
dc.identifier.vancouvercitation |
Shafuda F, McDonald AM, Van Wyk M, Versfeld J, Algebraic analysis of Toeplitz decorrelation techniques for direction-of-arrival estimation; 2019. http://hdl.handle.net/10204/11752 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Shafuda, F
AU - McDonald, Andre Martin
AU - Van Wyk, MA
AU - Versfeld, J
AB - In this paper, we investigate the correlation Toeplitz (CTOP) and averaging Toeplitz (AVTOP) decorrelation techniques, as applied towards direction of arrival (DOA) estimation of coherent narrowband sources with the multiple signals classi cation (MUSIC) algorithm. Numerical studies suggest that CTOP leads towards more accurate DOA estimation than AVTOP; however, no theoretical motivation for this performance gap has yet been presented. In this paper, we derive expressions for the Toeplitz matrices produced by the CTOP and AVTOP techniques, for a scenario involving a three-element uniform linear array and two coherent source signals in additive white Gaussian noise. These expressions lead to the claim that the accuracy of the CTOP technique can be attributed to its retention of source DOA information as independent sums (i.e. in a superposition form) in the Toeplitz matrix. The claim is supported by an investigation of the MUSIC spectra corresponding to the distinct Toeplitz matrices.
DA - 2019-11
DB - ResearchSpace
DP - CSIR
J1 - Institute of Electrical and Electronics Engineers (IEEE) Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, Bangkok, Thailand, 11-14 November 2019
KW - Toeplitz decorrelation
KW - Multiple signal classification
KW - Direction of arrival estimation
KW - Angle of arrival estimation
LK - https://researchspace.csir.co.za
PY - 2019
SM - 978-1-7281-3055-2
SM - 2159-2160
T1 - Algebraic analysis of Toeplitz decorrelation techniques for direction-of-arrival estimation
TI - Algebraic analysis of Toeplitz decorrelation techniques for direction-of-arrival estimation
UR - http://hdl.handle.net/10204/11752
ER - |
en_ZA |
dc.identifier.worklist |
23079 |
en_US |