This paper presents a decoder design for Quasi-Cyclic (QC) Low-Density Parity-Check (LDPC) codes. The design is parameterized and can be easily rebuilt to support various LDPC Parity-Check matrices taken from the WiMA...
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ISBN:
(纸本)9781665418478
This paper presents a decoder design for Quasi-Cyclic (QC) Low-Density Parity-Check (LDPC) codes. The design is parameterized and can be easily rebuilt to support various LDPC Parity-Check matrices taken from the WiMAX (IEEE 802.16e) and the WiFi (IEEE 802.11n) standards. New techniques such as parallelization of the decoding architecture cores are proposed. These cores calculate variable-to-check (VTC) and new check-to-variable (CTV) messages and also update posterior probabilities (APPs). The parallel multicore decoding architecture implies a prior shift of values based on the LDPC matrix and simultaneous calculation of values for the core. Our decoder is implemented on FPGAs of the Zynq-7000 Mini-ITX Evaluation Board (XC7Z100-2FFG900). The throughput of up to 1,2 GBit/s and the operation frequency of up to 240 MHz have been achieved.
This paper presents a novel high parallel decoder architecture for the quasi-cyclic low-density parity-check (QC-LDPC) codes defined in WiMAX system. Based on the turbo-decoding message passing (TDMP) algorithm, this ...
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ISBN:
(纸本)9781457716171
This paper presents a novel high parallel decoder architecture for the quasi-cyclic low-density parity-check (QC-LDPC) codes defined in WiMAX system. Based on the turbo-decoding message passing (TDMP) algorithm, this architecture costs 8 similar to 16 clock cycles for each iteration in the decoding process. In the normalized comparison with the state-of-art work, this design achieves up to 6.5x higher parallelism and 76% power reduction. The energy/bit/iteration of this design is only 1/5 of the previous work.
High-speed, low latency convolutional turbo codes require a parallel decoder architecture. To maximise the gain in speed, the interleaver also should have a parallel structure. Here, a class of optimum parallel interl...
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High-speed, low latency convolutional turbo codes require a parallel decoder architecture. To maximise the gain in speed, the interleaver also should have a parallel structure. Here, a class of optimum parallel interleavers regarding the access to storage elements is presented. They combine regularity (easy implementation) with no latency in data transfer between the decoder module and intrinsic/extrinsic values memories, and show excellent BER performance.
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