Adaptive Quantized and Normalized MSA and Its Application for DTMB-A LDPC Codes
In practical implementation, the input and intermediate signals of Low-Density Parity-Check (LDPC) message passing decoders are quantized into fixed-point messages with finite bit-width. The quantization operation with limited bit-width enhances the data throughput and reduces the computation and st...
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| Vydáno v: | IEEE International Symposium on Broadband Multimedia Systems and Broadcasting s. 1 - 5 |
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14.06.2023
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| ISSN: | 2155-5052 |
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| Abstract | In practical implementation, the input and intermediate signals of Low-Density Parity-Check (LDPC) message passing decoders are quantized into fixed-point messages with finite bit-width. The quantization operation with limited bit-width enhances the data throughput and reduces the computation and storage overhead of LDPC decoder, but confronts the problem of performance degradation. Existing improved algorithms of min-sum algorithm (MSA) generally do not consider the effect of quantization, and thus lack the optimization of the quantization strategy. To fill this gap, we first propose adaptive asymmetric quantization strategy. Then, based on the proposed quantization strategy, combined with conventional adaptive normalization technique, we propose adaptive quantized and normalized MSA (AQNMSA), which significantly alleviates the performance degradation of fixed quantized and normalized MSA (NMSA) with negligible increment of computational complexity. Concurrently, we provide a novel look-up table design algorithm for AQNMSA based on the tool of multi-edge-type density evolution (MET-DE). Finally, we apply AQNMSA to DTMB-A LDPC codes with a very low quantization bit-width of 4 bits, and observe a superior threshold performance and lower error floor compared with its non-adaptive float-point counterparts. |
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| AbstractList | In practical implementation, the input and intermediate signals of Low-Density Parity-Check (LDPC) message passing decoders are quantized into fixed-point messages with finite bit-width. The quantization operation with limited bit-width enhances the data throughput and reduces the computation and storage overhead of LDPC decoder, but confronts the problem of performance degradation. Existing improved algorithms of min-sum algorithm (MSA) generally do not consider the effect of quantization, and thus lack the optimization of the quantization strategy. To fill this gap, we first propose adaptive asymmetric quantization strategy. Then, based on the proposed quantization strategy, combined with conventional adaptive normalization technique, we propose adaptive quantized and normalized MSA (AQNMSA), which significantly alleviates the performance degradation of fixed quantized and normalized MSA (NMSA) with negligible increment of computational complexity. Concurrently, we provide a novel look-up table design algorithm for AQNMSA based on the tool of multi-edge-type density evolution (MET-DE). Finally, we apply AQNMSA to DTMB-A LDPC codes with a very low quantization bit-width of 4 bits, and observe a superior threshold performance and lower error floor compared with its non-adaptive float-point counterparts. |
| Author | Peng, Kewu An, Xia Zhang, Chao He, Zhitong Song, Jian |
| Author_xml | – sequence: 1 givenname: Xia surname: An fullname: An, Xia email: ax19@mails.tsinghua.edu.cn organization: Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China – sequence: 2 givenname: Chao surname: Zhang fullname: Zhang, Chao email: z_c@tsinghua.edu.cn organization: Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China – sequence: 3 givenname: Kewu surname: Peng fullname: Peng, Kewu email: pengkewu@tsinghua.edu.cn organization: Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China – sequence: 4 givenname: Zhitong surname: He fullname: He, Zhitong email: hezt20@mails.tsinghua.edu.cn organization: Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China – sequence: 5 givenname: Jian surname: Song fullname: Song, Jian email: jsong@tsinghua.edu.cn organization: Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China |
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| Snippet | In practical implementation, the input and intermediate signals of Low-Density Parity-Check (LDPC) message passing decoders are quantized into fixed-point... |
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| SubjectTerms | adaptive quantization adaptive quantized and normalized min-sum algorithm (AQNMSA) AWGN channels Decoding Degradation DTMB-A low-density parity-check (LDPC) code Modulation Parity check codes Phase shift keying Quantization (signal) |
| Title | Adaptive Quantized and Normalized MSA and Its Application for DTMB-A LDPC Codes |
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