Trajectory-Aided Maximum-Likelihood Algorithm for Channel Parameter Estimation in Ultrawideband Large-Scale Arrays
(2020) In IEEE Transactions on Antennas and Propagation 68(10). p.7131-7143- Abstract
Millimeter-wave with ultrawide bandwidth available and ability to pack massive number of antennas in a small area is considered the key enabler for future generation communication systems. Accurate understanding and modeling of the ultrawideband propagation channel with large-scale array configuration is essential. In this contribution, a realistic spherical-propagation signal model considering the spatial nonstationarity of path gain across the array elements is proposed. A novel trajectory-aided maximum-likelihood (TAMax) algorithm is proposed to extract propagation parameters from the measured data, since the existing high-resolution propagation parameter estimation algorithms are not applicable due to either prohibitively high... (More)
Millimeter-wave with ultrawide bandwidth available and ability to pack massive number of antennas in a small area is considered the key enabler for future generation communication systems. Accurate understanding and modeling of the ultrawideband propagation channel with large-scale array configuration is essential. In this contribution, a realistic spherical-propagation signal model considering the spatial nonstationarity of path gain across the array elements is proposed. A novel trajectory-aided maximum-likelihood (TAMax) algorithm is proposed to extract propagation parameters from the measured data, since the existing high-resolution propagation parameter estimation algorithms are not applicable due to either prohibitively high computation loads or assumption violations. In the proposed TAMax algorithm, the high-dimensional maximum-likelihood estimation (MLE) problem is first decomposed into a subproblem where delays and amplitudes of multipath components (MPCs) are estimated at individual array elements. A novel transform is then proposed to identify multiple MPC trajectories in the delay-element domain. With interference cancellation and fast initialization obtained in the proposed transform, spherical propagation parameters are finally acquired via joint MLE with significantly decreased searching spaces. Moreover, a measurement campaign conducted at the frequency band of 27-29 GHz using a virtual uniform circular array is introduced, where the proposed TAMax algorithm is applied and validated.
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- author
- Cai, Xuesong LU ; Fan, Wei ; Yin, Xuefeng and Pedersen, Gert Frolund
- publishing date
- 2020-10
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Large-scale array, millimeter-wave (mmWave), spatial nonstationarity, spherical wave propagation, ultrawideband
- in
- IEEE Transactions on Antennas and Propagation
- volume
- 68
- issue
- 10
- article number
- 9104014
- pages
- 13 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85092447596
- ISSN
- 0018-926X
- DOI
- 10.1109/TAP.2020.2996774
- language
- English
- LU publication?
- no
- additional info
- Funding Information: Manuscript received May 11, 2019; revised March 18, 2020; accepted May 2, 2020. Date of publication May 29, 2020; date of current version October 6, 2020. This work was supported in part by Huawei Technologies, in part by the InnoExplorer Project (2019 9122-00089A) funded by the Innovation Fund Denmark, and in part by the China National Science Foundation (CNSF) General Project under Grant 61971313. (Corresponding authors: Xuesong Cai; Xuefeng Yin.) Xuesong Cai, Wei Fan, and Gert Frølund Pedersen are with the Department of Electronic Systems, Technical Faculty of IT and Design, Aalborg University, 9220 Aalborg, Denmark (e-mail: xuc@es.aau.dk; wfa@es.aau.dk; gfp@es.aau.dk). Publisher Copyright: © 2020 IEEE.
- id
- b0d5ea3d-6d6f-4f98-92c4-778709c0d372
- date added to LUP
- 2021-11-22 22:41:29
- date last changed
- 2022-04-27 06:00:12
@article{b0d5ea3d-6d6f-4f98-92c4-778709c0d372,
abstract = {{<p>Millimeter-wave with ultrawide bandwidth available and ability to pack massive number of antennas in a small area is considered the key enabler for future generation communication systems. Accurate understanding and modeling of the ultrawideband propagation channel with large-scale array configuration is essential. In this contribution, a realistic spherical-propagation signal model considering the spatial nonstationarity of path gain across the array elements is proposed. A novel trajectory-aided maximum-likelihood (TAMax) algorithm is proposed to extract propagation parameters from the measured data, since the existing high-resolution propagation parameter estimation algorithms are not applicable due to either prohibitively high computation loads or assumption violations. In the proposed TAMax algorithm, the high-dimensional maximum-likelihood estimation (MLE) problem is first decomposed into a subproblem where delays and amplitudes of multipath components (MPCs) are estimated at individual array elements. A novel transform is then proposed to identify multiple MPC trajectories in the delay-element domain. With interference cancellation and fast initialization obtained in the proposed transform, spherical propagation parameters are finally acquired via joint MLE with significantly decreased searching spaces. Moreover, a measurement campaign conducted at the frequency band of 27-29 GHz using a virtual uniform circular array is introduced, where the proposed TAMax algorithm is applied and validated. </p>}},
author = {{Cai, Xuesong and Fan, Wei and Yin, Xuefeng and Pedersen, Gert Frolund}},
issn = {{0018-926X}},
keywords = {{Large-scale array; millimeter-wave (mmWave); spatial nonstationarity; spherical wave propagation; ultrawideband}},
language = {{eng}},
number = {{10}},
pages = {{7131--7143}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Antennas and Propagation}},
title = {{Trajectory-Aided Maximum-Likelihood Algorithm for Channel Parameter Estimation in Ultrawideband Large-Scale Arrays}},
url = {{https://lup.lub.lu.se/search/files/111250194/TAP2996774.pdf}},
doi = {{10.1109/TAP.2020.2996774}},
volume = {{68}},
year = {{2020}},
}