Frontiers of Information Technology & Electronic Engineering · 2015 · 12 citations · 13 references
EngineeringComputer ScienceElectrical EngineeringAlgorithmsDigital CommunicationInformation TheoryChannel CapacityChannel CodingCoding TheoryError Control CodingError DetectionError-correcting CodesDecoding AlgorithmsDecoding ComplexityLow-density Parity-check CodesParity Check CodesParity-check Matrices
In this paper, an improved low-complexity sum-product decoding algorithm is presented for low-density parity-check (LDPC) codes. In the proposed algorithm, reduction in computational complexity is achieved by utilizing fast Fourier transform (FFT) with time shift in the check node process. The improvement in the decoding performance is achieved by utilizing an optimized integer constant in the variable node process. Simulation results show that the proposed algorithm achieves an overall coding gain improvement ranging from 0.04 to 0.46 dB. Moreover, when compared with the sum-product algorithm (SPA), the proposed decoding algorithm can achieve a reduction of 42%–67% of the total number of arithmetic operations required for the decoding process.
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Low-density parity-check codes
Robert G. Gallager · IEEE Transactions on Information Theory · 1962 · 10.6K citations · Full text