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Decision Feedback Semi-Blind Estimation Algorithm for Specular OFDM Channels

Ladaycia, Abdelhamid ; Pesavento, Marius ; Makraoui, Anissa ; Abed-Meraim, Karim ; Belouchrani, Adel (2019)
Decision Feedback Semi-Blind Estimation Algorithm for Specular OFDM Channels.
2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019). Brighton, UK (12.-17.05.2019)
doi: 10.1109/ICASSP.2019.8683699
Conference or Workshop Item, Bibliographie

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Abstract

This paper deals with semi-blind channel estimation in Single-Input Single-Output (SISO) Orthogonal Frequency Division Multiplexing (OFDM) communications system. The proposed algorithm proceeds in two main stages. The first one addresses the pilot-based Time-Of-Arrival (TOA) estimation using subspace methods and then estimates the channel through its specular model. In the second stage, one considers a decision feedback equalizer that is used to refine the channel parameters estimates. Simulation results show that good performance can be reached with only one OFDM pilot symbol with appropriate windowing using only one iteration. A significant performance improvement as compared to the pilot-based TOA method is observed.

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Ladaycia, Abdelhamid ; Pesavento, Marius ; Makraoui, Anissa ; Abed-Meraim, Karim ; Belouchrani, Adel
Type of entry: Bibliographie
Title: Decision Feedback Semi-Blind Estimation Algorithm for Specular OFDM Channels
Language: English
Date: 7 May 2019
Place of Publication: [Piscataway, NJ]
Publisher: IEEE
Book Title: Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing
Event Title: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019)
Event Location: Brighton, UK
Event Dates: 12.-17.05.2019
DOI: 10.1109/ICASSP.2019.8683699
Abstract:

This paper deals with semi-blind channel estimation in Single-Input Single-Output (SISO) Orthogonal Frequency Division Multiplexing (OFDM) communications system. The proposed algorithm proceeds in two main stages. The first one addresses the pilot-based Time-Of-Arrival (TOA) estimation using subspace methods and then estimates the channel through its specular model. In the second stage, one considers a decision feedback equalizer that is used to refine the channel parameters estimates. Simulation results show that good performance can be reached with only one OFDM pilot symbol with appropriate windowing using only one iteration. A significant performance improvement as compared to the pilot-based TOA method is observed.

Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Communication Systems
Date Deposited: 26 Aug 2019 11:58
Last Modified: 05 Jun 2024 08:27
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