Performance of Simple-Encoding Irregular LDPC Codes Based on Sparse Generator Matrix
Lei Tang, Fengfan Yang
Abstract
Lei Tang, Fengfan Yang
Abstract
A new method for the construction of the high performance systematic irregular low-density parity-check (LDPC) codes based on the sparse generator matrix (G-LDPC) is introduced. The code can greatly reduce the encoding complexity while maintaining the same decoding complexity as traditional regular LDPC (H-LDPC) codes defined by the sparse parity check matrix. Simulation results show that the performance of the proposed irregular LDPC codes can offer significant gains over traditional LDPC codes in low SNRs with a few decoding iterations over an additive white Gaussian noise (AWGN) channel.
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A new method for the construction of the high performance systematic irregular low-density parity-check (LDPC) codes based on the sparse generator matrix (G-LDPC) is introduced. The code can greatly reduce the encoding complexity while maintaining the same decoding complexity as traditional regular LDPC (H-LDPC) codes defined by the sparse parity check matrix. Simulation results show that the performance of the proposed irregular LDPC codes can offer significant gains over traditional LDPC codes in low SNRs with a few decoding iterations over an additive white Gaussian noise (AWGN) channel.
Key concepts: Low-density parity-check code, Generator matrix, Additive white Gaussian noise, Serial concatenated convolutional codes, Parity-check matrix, Concatenated error correction code, Algorithm, Decoding methods