Time-Frequency Channel Parameterization with Application to Multi-Mode Receivers

Thomas HUNZIKER; Ziyang JU; Dirk DAHLHAUS

doi:10.1587/transcom.E92.B.3717

Time-Frequency Channel Parameterization with Application to Multi-Mode Receivers

Thomas HUNZIKER, Ziyang JU, Dirk DAHLHAUS

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There is a trend towards flexible radios which are able to cope with a range of wireless communication standards. For the integrated processing of widely different signals -- including single-carrier, multi-carrier, and spread-spectrum signals -- monolithic baseband receivers need universal formats for the signal representation and channel description. We consider a reconfigurable receiver architecture building on concepts from time-frequency (TF) signal analysis. The core elements are TF signal representations in form of a Gabor expansion along with a compatible parameterization of time-variant channels. While applicable to arbitrary signal types, the TF channel parameterization offers similar advantages as the frequency domain channel description employed by orthogonal frequency-division multiplexing receivers. The freedom in the choice of the underlying analysis window function and the scalability in time and frequency facilitate the handling of diverse signal types as well as the adaptation to radio channels with different delay and Doppler spreads. Optimized window shapes limit the inherent model error, as demonstrated using the example of direct-sequence spread-spectrum signaling.

Publication: IEICE TRANSACTIONS on Communications Vol.E92-B No.12 pp.3717-3725

Publication Date: 2009/12/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E92.B.3717

Type of Manuscript: Special Section PAPER (Special Section on Dynamic Spectrum Access)

Category: Multi-Mode Receiver

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Thomas HUNZIKER, Ziyang JU, Dirk DAHLHAUS, "Time-Frequency Channel Parameterization with Application to Multi-Mode Receivers" in IEICE TRANSACTIONS on Communications, vol. E92-B, no. 12, pp. 3717-3725, December 2009, doi: 10.1587/transcom.E92.B.3717.
Abstract: There is a trend towards flexible radios which are able to cope with a range of wireless communication standards. For the integrated processing of widely different signals -- including single-carrier, multi-carrier, and spread-spectrum signals -- monolithic baseband receivers need universal formats for the signal representation and channel description. We consider a reconfigurable receiver architecture building on concepts from time-frequency (TF) signal analysis. The core elements are TF signal representations in form of a Gabor expansion along with a compatible parameterization of time-variant channels. While applicable to arbitrary signal types, the TF channel parameterization offers similar advantages as the frequency domain channel description employed by orthogonal frequency-division multiplexing receivers. The freedom in the choice of the underlying analysis window function and the scalability in time and frequency facilitate the handling of diverse signal types as well as the adaptation to radio channels with different delay and Doppler spreads. Optimized window shapes limit the inherent model error, as demonstrated using the example of direct-sequence spread-spectrum signaling.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3717/_p

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@ARTICLE{e92-b_12_3717,
author={Thomas HUNZIKER, Ziyang JU, Dirk DAHLHAUS, },
journal={IEICE TRANSACTIONS on Communications},
title={Time-Frequency Channel Parameterization with Application to Multi-Mode Receivers},
year={2009},
volume={E92-B},
number={12},
pages={3717-3725},
abstract={There is a trend towards flexible radios which are able to cope with a range of wireless communication standards. For the integrated processing of widely different signals -- including single-carrier, multi-carrier, and spread-spectrum signals -- monolithic baseband receivers need universal formats for the signal representation and channel description. We consider a reconfigurable receiver architecture building on concepts from time-frequency (TF) signal analysis. The core elements are TF signal representations in form of a Gabor expansion along with a compatible parameterization of time-variant channels. While applicable to arbitrary signal types, the TF channel parameterization offers similar advantages as the frequency domain channel description employed by orthogonal frequency-division multiplexing receivers. The freedom in the choice of the underlying analysis window function and the scalability in time and frequency facilitate the handling of diverse signal types as well as the adaptation to radio channels with different delay and Doppler spreads. Optimized window shapes limit the inherent model error, as demonstrated using the example of direct-sequence spread-spectrum signaling.},
keywords={},
doi={10.1587/transcom.E92.B.3717},
ISSN={1745-1345},
month={December},}

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TY - JOUR
TI - Time-Frequency Channel Parameterization with Application to Multi-Mode Receivers
T2 - IEICE TRANSACTIONS on Communications
SP - 3717
EP - 3725
AU - Thomas HUNZIKER
AU - Ziyang JU
AU - Dirk DAHLHAUS
PY - 2009
DO - 10.1587/transcom.E92.B.3717
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2009
AB - There is a trend towards flexible radios which are able to cope with a range of wireless communication standards. For the integrated processing of widely different signals -- including single-carrier, multi-carrier, and spread-spectrum signals -- monolithic baseband receivers need universal formats for the signal representation and channel description. We consider a reconfigurable receiver architecture building on concepts from time-frequency (TF) signal analysis. The core elements are TF signal representations in form of a Gabor expansion along with a compatible parameterization of time-variant channels. While applicable to arbitrary signal types, the TF channel parameterization offers similar advantages as the frequency domain channel description employed by orthogonal frequency-division multiplexing receivers. The freedom in the choice of the underlying analysis window function and the scalability in time and frequency facilitate the handling of diverse signal types as well as the adaptation to radio channels with different delay and Doppler spreads. Optimized window shapes limit the inherent model error, as demonstrated using the example of direct-sequence spread-spectrum signaling.
ER -