Adaptive Truncation of Channel Impulse Response and its Performance Evaluation

Shingchern D. You; Ching Wen Yeh; Yu Sun Liu

doi:10.1109/ICICE49024.2019.9117299

Adaptive Truncation of Channel Impulse Response and its Performance Evaluation

Shingchern D. You
, Ching Wen Yeh
, Yu Sun Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

It is known that the performance of the fast Fourier transform (FFT) -based channel estimation approach is heavily affected by the length of the truncated channel impulse response. Unfortunately, a good algorithm to do so usually involves high computational complexity, and not suitable for fast-varying channels. To address this issue, we propose to use the metric available in the forward error correction block (e.g., conventional decoder) to adaptively adjust the window size for every OFDM symbol to deal with fast varying channels. We implement our algorithm to decode simulated and on-air DVB-T signals. Experimental results show that the proposed algorithm has comparable performance as the optimal-search approach in terms of error packets for on-air channels.

Original language	English
Title of host publication	Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019
Editors	Shoou-Jinn Chang, Sheng-Joue Young, Artde Donald Kin-Tak Lam, Liang-Wen Ji, Hao-Ying Lu, Stephen D. Prior
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6-9
Number of pages	4
ISBN (Electronic)	9781728158396
DOIs	https://doi.org/10.1109/ICICE49024.2019.9117299
State	Published - Oct 2019
Event	8th International Conference on Innovation, Communication and Engineering, ICICE 2019 - Zhengzhou, Henan Province, China Duration: 25 Oct 2019 → 30 Oct 2019

Publication series

Name	Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019

Conference

Conference	8th International Conference on Innovation, Communication and Engineering, ICICE 2019
Country/Territory	China
City	Zhengzhou, Henan Province
Period	25/10/19 → 30/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

CIR truncation
FFT
OFDM
channel estimation

Access to Document

10.1109/ICICE49024.2019.9117299

Cite this

You, S. D., Yeh, C. W., & Liu, Y. S. (2019). Adaptive Truncation of Channel Impulse Response and its Performance Evaluation. In S.-J. Chang, S.-J. Young, A. D. K.-T. Lam, L.-W. Ji, H.-Y. Lu, & S. D. Prior (Eds.), Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019 (pp. 6-9). Article 9117299 (Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICE49024.2019.9117299

You, Shingchern D. ; Yeh, Ching Wen ; Liu, Yu Sun. / Adaptive Truncation of Channel Impulse Response and its Performance Evaluation. Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019. editor / Shoou-Jinn Chang ; Sheng-Joue Young ; Artde Donald Kin-Tak Lam ; Liang-Wen Ji ; Hao-Ying Lu ; Stephen D. Prior. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 6-9 (Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019).

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title = "Adaptive Truncation of Channel Impulse Response and its Performance Evaluation",

abstract = "It is known that the performance of the fast Fourier transform (FFT) -based channel estimation approach is heavily affected by the length of the truncated channel impulse response. Unfortunately, a good algorithm to do so usually involves high computational complexity, and not suitable for fast-varying channels. To address this issue, we propose to use the metric available in the forward error correction block (e.g., conventional decoder) to adaptively adjust the window size for every OFDM symbol to deal with fast varying channels. We implement our algorithm to decode simulated and on-air DVB-T signals. Experimental results show that the proposed algorithm has comparable performance as the optimal-search approach in terms of error packets for on-air channels.",

keywords = "CIR truncation, FFT, OFDM, channel estimation",

author = "You, \{Shingchern D.\} and Yeh, \{Ching Wen\} and Liu, \{Yu Sun\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th International Conference on Innovation, Communication and Engineering, ICICE 2019 ; Conference date: 25-10-2019 Through 30-10-2019",

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You, SD, Yeh, CW & Liu, YS 2019, Adaptive Truncation of Channel Impulse Response and its Performance Evaluation. in S-J Chang, S-J Young, ADK-T Lam, L-W Ji, H-Y Lu & SD Prior (eds), Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019., 9117299, Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 6-9, 8th International Conference on Innovation, Communication and Engineering, ICICE 2019, Zhengzhou, Henan Province, China, 25/10/19. https://doi.org/10.1109/ICICE49024.2019.9117299

Adaptive Truncation of Channel Impulse Response and its Performance Evaluation. / You, Shingchern D.; Yeh, Ching Wen; Liu, Yu Sun.
Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019. ed. / Shoou-Jinn Chang; Sheng-Joue Young; Artde Donald Kin-Tak Lam; Liang-Wen Ji; Hao-Ying Lu; Stephen D. Prior. Institute of Electrical and Electronics Engineers Inc., 2019. p. 6-9 9117299 (Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - It is known that the performance of the fast Fourier transform (FFT) -based channel estimation approach is heavily affected by the length of the truncated channel impulse response. Unfortunately, a good algorithm to do so usually involves high computational complexity, and not suitable for fast-varying channels. To address this issue, we propose to use the metric available in the forward error correction block (e.g., conventional decoder) to adaptively adjust the window size for every OFDM symbol to deal with fast varying channels. We implement our algorithm to decode simulated and on-air DVB-T signals. Experimental results show that the proposed algorithm has comparable performance as the optimal-search approach in terms of error packets for on-air channels.

AB - It is known that the performance of the fast Fourier transform (FFT) -based channel estimation approach is heavily affected by the length of the truncated channel impulse response. Unfortunately, a good algorithm to do so usually involves high computational complexity, and not suitable for fast-varying channels. To address this issue, we propose to use the metric available in the forward error correction block (e.g., conventional decoder) to adaptively adjust the window size for every OFDM symbol to deal with fast varying channels. We implement our algorithm to decode simulated and on-air DVB-T signals. Experimental results show that the proposed algorithm has comparable performance as the optimal-search approach in terms of error packets for on-air channels.

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You SD, Yeh CW, Liu YS. Adaptive Truncation of Channel Impulse Response and its Performance Evaluation. In Chang SJ, Young SJ, Lam ADKT, Ji LW, Lu HY, Prior SD, editors, Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 6-9. 9117299. (Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019). doi: 10.1109/ICICE49024.2019.9117299

Adaptive Truncation of Channel Impulse Response and its Performance Evaluation

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