TELKOMNIKA Telecommunication, Computing, Electronics and Control
Compressive sensing-based channel estimation for high mobile systems with delay Doppler effects
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Compressive sensing-based channel estimation for high mobile systems with delay Doppler effects
Compressive sensing-based channel estimation for high mobile systems with delay Doppler effects
Subject
CS, Delay-Doppler, HST systems, LTV, MIMO-OFDM, Sparse channel estimation, STBC
Description
In this paper, channel overhead is reduced by exploiting channel sparsity for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) system. Where, compressive sensing (CS) based dictionary design algorithms has been adopted as a channel estimation technique in high mobile systems with minimal number of pilots, such as high-speed train (HST) systems. A novel framework design of the dictionary-based CS was proposed considering both delay and Doppler effects in order to correctly recover the channel response. The channel under consideration is a 2 by 2 space-time block code (STBC) MIMO channel. Simulation tests according to the international telecommunication union (ITU) channel model demonstrated the suitability of the proposed dictionary for estimating the channel impulse response (CIR) of a liner time varying (LTV) channel with a mobility approaches 675 Km/h related to a Doppler frequency of 1500 Hz and 2.4 GHz carrier frequency. Two CS recovery algorithms were applied;
orthogonal matching pursuit (OMP) and basis pursuit (BP), where by about 7 dB gain in signal to noise ratio (SNR) was achieved with mobility of 675 Km/h using OMP as compared to BP at a bit error rate (BER) of 10−3 with 128 OFDM subcarriers.
orthogonal matching pursuit (OMP) and basis pursuit (BP), where by about 7 dB gain in signal to noise ratio (SNR) was achieved with mobility of 675 Km/h using OMP as compared to BP at a bit error rate (BER) of 10−3 with 128 OFDM subcarriers.
Creator
Khalifa A. Salim, Bayan Mahdi Sabbar, Maryam K. Abboud
Source
DOI: 10.12928/TELKOMNIKA.v20i6.24233
Publisher
Universitas Ahmad Dahlan
Date
December 2022
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Khalifa A. Salim, Bayan Mahdi Sabbar, Maryam K. Abboud, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Compressive sensing-based channel estimation for high mobile systems with delay Doppler effects,” Repository Horizon University Indonesia, accessed December 22, 2024, https://repository.horizon.ac.id/items/show/4480.
Compressive sensing-based channel estimation for high mobile systems with delay Doppler effects,” Repository Horizon University Indonesia, accessed December 22, 2024, https://repository.horizon.ac.id/items/show/4480.