IEICE TRANSACTIONS on Fundamentals
Low Computational Complexity Direction-of-Arrival Estimation of Wideband Signal Sources Based on Squared TOPS
Summary :
We propose a new direction-of-arrival (DOA) estimation method of wideband signals. In several decades, many approaches to estimate DOA of wideband signal sources have been proposed. Test of orthogonality of projected subspaces (TOPS) and Squared TOPS are the estimation algorithms to realize high resolution performance of closely spaced signal sources. These methods, however, are not suitable for DOA estimation of multiple signal sources, because the spatial spectrum calculated by Squared TOPS has some false peaks. Therefore, the authors have proposed the weighted squared TOPS (WS-TOPS) to suppress these false peaks by modifying the orthogonality evaluation matrix, WS-TOPS also achieves better DOA estimation accuracy than that of Squared TOPS. On the other hand, WS-TOPS has a drawback, it requires high computational complexity. Our new method can realize good DOA estimation performance, which is better than that of Squared TOPS, with low computational complexity by reducing the size of orthogonality evaluation matrix and the number of subspaces to be used. Simulation results show that the new method can provide high resolution performance and high DOA estimation accuracy with low computational complexity.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.1 pp.219-226
- Publication Date
- 2017/01/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.219
- Type of Manuscript
- Special Section PAPER (Special Section on Wideband Systems)
- Category
Authors
Hirotaka HAYASHI
Keio University
Tomoaki OHTSUKI
Keio University
Keyword
Latest Issue
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Hirotaka HAYASHI, Tomoaki OHTSUKI, "Low Computational Complexity Direction-of-Arrival Estimation of Wideband Signal Sources Based on Squared TOPS" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 1, pp. 219-226, January 2017, doi: 10.1587/transfun.E100.A.219.
Abstract: We propose a new direction-of-arrival (DOA) estimation method of wideband signals. In several decades, many approaches to estimate DOA of wideband signal sources have been proposed. Test of orthogonality of projected subspaces (TOPS) and Squared TOPS are the estimation algorithms to realize high resolution performance of closely spaced signal sources. These methods, however, are not suitable for DOA estimation of multiple signal sources, because the spatial spectrum calculated by Squared TOPS has some false peaks. Therefore, the authors have proposed the weighted squared TOPS (WS-TOPS) to suppress these false peaks by modifying the orthogonality evaluation matrix, WS-TOPS also achieves better DOA estimation accuracy than that of Squared TOPS. On the other hand, WS-TOPS has a drawback, it requires high computational complexity. Our new method can realize good DOA estimation performance, which is better than that of Squared TOPS, with low computational complexity by reducing the size of orthogonality evaluation matrix and the number of subspaces to be used. Simulation results show that the new method can provide high resolution performance and high DOA estimation accuracy with low computational complexity.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.219/_p
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@ARTICLE{e100-a_1_219,
author={Hirotaka HAYASHI, Tomoaki OHTSUKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Low Computational Complexity Direction-of-Arrival Estimation of Wideband Signal Sources Based on Squared TOPS},
year={2017},
volume={E100-A},
number={1},
pages={219-226},
abstract={We propose a new direction-of-arrival (DOA) estimation method of wideband signals. In several decades, many approaches to estimate DOA of wideband signal sources have been proposed. Test of orthogonality of projected subspaces (TOPS) and Squared TOPS are the estimation algorithms to realize high resolution performance of closely spaced signal sources. These methods, however, are not suitable for DOA estimation of multiple signal sources, because the spatial spectrum calculated by Squared TOPS has some false peaks. Therefore, the authors have proposed the weighted squared TOPS (WS-TOPS) to suppress these false peaks by modifying the orthogonality evaluation matrix, WS-TOPS also achieves better DOA estimation accuracy than that of Squared TOPS. On the other hand, WS-TOPS has a drawback, it requires high computational complexity. Our new method can realize good DOA estimation performance, which is better than that of Squared TOPS, with low computational complexity by reducing the size of orthogonality evaluation matrix and the number of subspaces to be used. Simulation results show that the new method can provide high resolution performance and high DOA estimation accuracy with low computational complexity.},
keywords={},
doi={10.1587/transfun.E100.A.219},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - Low Computational Complexity Direction-of-Arrival Estimation of Wideband Signal Sources Based on Squared TOPS
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 219
EP - 226
AU - Hirotaka HAYASHI
AU - Tomoaki OHTSUKI
PY - 2017
DO - 10.1587/transfun.E100.A.219
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2017
AB - We propose a new direction-of-arrival (DOA) estimation method of wideband signals. In several decades, many approaches to estimate DOA of wideband signal sources have been proposed. Test of orthogonality of projected subspaces (TOPS) and Squared TOPS are the estimation algorithms to realize high resolution performance of closely spaced signal sources. These methods, however, are not suitable for DOA estimation of multiple signal sources, because the spatial spectrum calculated by Squared TOPS has some false peaks. Therefore, the authors have proposed the weighted squared TOPS (WS-TOPS) to suppress these false peaks by modifying the orthogonality evaluation matrix, WS-TOPS also achieves better DOA estimation accuracy than that of Squared TOPS. On the other hand, WS-TOPS has a drawback, it requires high computational complexity. Our new method can realize good DOA estimation performance, which is better than that of Squared TOPS, with low computational complexity by reducing the size of orthogonality evaluation matrix and the number of subspaces to be used. Simulation results show that the new method can provide high resolution performance and high DOA estimation accuracy with low computational complexity.
ER -
English
