Accelerated Adaptive Algorithms with Application to Direction-of-Arrival Estimation by Subspace Tracking
Summary :
Direction-of-arrival (DOA) estimation based on subspace methods has collected much interest over a few decades, and adaptive DOA estimation with rapidly changing parameters will be necessary for wireless communications. This paper is concerned with a new subspace tracking scheme by using an accelerated LMS and RLS algorithms for time-varying parameters. The proposed accelerated adaptive algorithms are based on the internal model principle by approximately expressing the changing parameters by an expansion of polynomial time functions. Thus its application to DOA estimation based on the MUSIC and MODE schemes is presented and the effectiveness is validated in numerical simulations.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.8 pp.2131-2142
- Publication Date
- 2005/08/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.8.2131
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
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Shohei KIKUCHI, Akira SANO, "Accelerated Adaptive Algorithms with Application to Direction-of-Arrival Estimation by Subspace Tracking" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 8, pp. 2131-2142, August 2005, doi: 10.1093/ietfec/e88-a.8.2131.
Abstract: Direction-of-arrival (DOA) estimation based on subspace methods has collected much interest over a few decades, and adaptive DOA estimation with rapidly changing parameters will be necessary for wireless communications. This paper is concerned with a new subspace tracking scheme by using an accelerated LMS and RLS algorithms for time-varying parameters. The proposed accelerated adaptive algorithms are based on the internal model principle by approximately expressing the changing parameters by an expansion of polynomial time functions. Thus its application to DOA estimation based on the MUSIC and MODE schemes is presented and the effectiveness is validated in numerical simulations.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.8.2131/_p
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@ARTICLE{e88-a_8_2131,
author={Shohei KIKUCHI, Akira SANO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Accelerated Adaptive Algorithms with Application to Direction-of-Arrival Estimation by Subspace Tracking},
year={2005},
volume={E88-A},
number={8},
pages={2131-2142},
abstract={Direction-of-arrival (DOA) estimation based on subspace methods has collected much interest over a few decades, and adaptive DOA estimation with rapidly changing parameters will be necessary for wireless communications. This paper is concerned with a new subspace tracking scheme by using an accelerated LMS and RLS algorithms for time-varying parameters. The proposed accelerated adaptive algorithms are based on the internal model principle by approximately expressing the changing parameters by an expansion of polynomial time functions. Thus its application to DOA estimation based on the MUSIC and MODE schemes is presented and the effectiveness is validated in numerical simulations.},
keywords={},
doi={10.1093/ietfec/e88-a.8.2131},
ISSN={},
month={August},}
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TY - JOUR
TI - Accelerated Adaptive Algorithms with Application to Direction-of-Arrival Estimation by Subspace Tracking
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2131
EP - 2142
AU - Shohei KIKUCHI
AU - Akira SANO
PY - 2005
DO - 10.1093/ietfec/e88-a.8.2131
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2005
AB - Direction-of-arrival (DOA) estimation based on subspace methods has collected much interest over a few decades, and adaptive DOA estimation with rapidly changing parameters will be necessary for wireless communications. This paper is concerned with a new subspace tracking scheme by using an accelerated LMS and RLS algorithms for time-varying parameters. The proposed accelerated adaptive algorithms are based on the internal model principle by approximately expressing the changing parameters by an expansion of polynomial time functions. Thus its application to DOA estimation based on the MUSIC and MODE schemes is presented and the effectiveness is validated in numerical simulations.
ER -
English
