Choosing the right threshold for cross-entropy-based stopping criteria
Cross-entropy (CE)-based stopping criteria for turbo iterative decoding are known to outperform fixed-iteration stopping criteria at high signal-to-noise ratios (SNRs). While CE-based stopping criteria have a range of thresholds, a high-value threshold for small frame sizes, and vice versa, should b...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/15372/1/Choosing%20the%20right%20threshold%20for%20cross-entropy-based%20stopping%20criteria.pdf http://psasir.upm.edu.my/id/eprint/15372/ http://www.arpnjournals.com/jeas/volume_02_2015.htm |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |
| Summary: | Cross-entropy (CE)-based stopping criteria for turbo iterative decoding are known to outperform fixed-iteration stopping criteria at high signal-to-noise ratios (SNRs). While CE-based stopping criteria have a range of thresholds, a high-value threshold for small frame sizes, and vice versa, should be used. It is difficult to advocate the value that can be categorized as either a small or large frame size. Moreover, thresholds may be specific for different SNRs. Hence, this paper provides a systematic analysis of threshold selection for the respective frame sizes of well-known CE-based stopping criteria. In this work, a range of thresholds was simulated for their error performance and required average number of iterations. To reduce complexity in the average iteration number, these results are thoroughly analysed and a suitable threshold for each CE-based stopping criterion in the specific SNR region is proposed. |
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