Estimation of channel MSE for ATSC 3.0 receiver and its applications
In this paper, we propose a method to estimate the mean square error (MSE) of the estimated channel for ATSC (Advanced Television Systems Committee) 3.0 systems. When combining the channel MSE and noise variance, we can better estimate the a priori LLR (log likelihood ratio) for the sum–product algo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959521001132 |
| _version_ | 1811336487033110528 |
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| author | Yu-Sun Liu Chun-Hung Huang Shingchern D. You |
| author_facet | Yu-Sun Liu Chun-Hung Huang Shingchern D. You |
| author_sort | Yu-Sun Liu |
| collection | DOAJ |
| description | In this paper, we propose a method to estimate the mean square error (MSE) of the estimated channel for ATSC (Advanced Television Systems Committee) 3.0 systems. When combining the channel MSE and noise variance, we can better estimate the a priori LLR (log likelihood ratio) for the sum–product algorithm. The experimental results show that doing so yields better BER (bit error rate) performance in the 0 dB echo channel. The improvement in the 2-D channel estimation is about 0.2 dB. In the 1-D estimation case, the proposed approach is essential to decode codewords. |
| first_indexed | 2024-04-13T17:40:13Z |
| format | Article |
| id | doaj.art-00df661a1df74ba28ed6c24f44e01cb3 |
| institution | Directory Open Access Journal |
| issn | 2405-9595 |
| language | English |
| last_indexed | 2024-04-13T17:40:13Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj.art-00df661a1df74ba28ed6c24f44e01cb32022-12-22T02:37:12ZengElsevierICT Express2405-95952022-06-0182202206Estimation of channel MSE for ATSC 3.0 receiver and its applicationsYu-Sun Liu0Chun-Hung Huang1Shingchern D. You2Department of Electronic Engineering, National Taipei University of Technology, Taipei 106, TaiwanDepartment of Electronic Engineering, National Taipei University of Technology, Taipei 106, TaiwanDepartment of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 106, Taiwan; Corresponding author.In this paper, we propose a method to estimate the mean square error (MSE) of the estimated channel for ATSC (Advanced Television Systems Committee) 3.0 systems. When combining the channel MSE and noise variance, we can better estimate the a priori LLR (log likelihood ratio) for the sum–product algorithm. The experimental results show that doing so yields better BER (bit error rate) performance in the 0 dB echo channel. The improvement in the 2-D channel estimation is about 0.2 dB. In the 1-D estimation case, the proposed approach is essential to decode codewords.http://www.sciencedirect.com/science/article/pii/S2405959521001132ATSC 3.0LDPCChannel MSEBER |
| spellingShingle | Yu-Sun Liu Chun-Hung Huang Shingchern D. You Estimation of channel MSE for ATSC 3.0 receiver and its applications ICT Express ATSC 3.0 LDPC Channel MSE BER |
| title | Estimation of channel MSE for ATSC 3.0 receiver and its applications |
| title_full | Estimation of channel MSE for ATSC 3.0 receiver and its applications |
| title_fullStr | Estimation of channel MSE for ATSC 3.0 receiver and its applications |
| title_full_unstemmed | Estimation of channel MSE for ATSC 3.0 receiver and its applications |
| title_short | Estimation of channel MSE for ATSC 3.0 receiver and its applications |
| title_sort | estimation of channel mse for atsc 3 0 receiver and its applications |
| topic | ATSC 3.0 LDPC Channel MSE BER |
| url | http://www.sciencedirect.com/science/article/pii/S2405959521001132 |
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