A compact 1.1-Gb/s encoder and a memory-based 600-Mb/s decoder for LDPC convolutional codes
IEEE Transactions on Circuits and Systems Part I: Regular Papers - Special issue on ISCAS2008
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Time-varying periodic convolutional codes with low-density parity-check matrix
IEEE Transactions on Information Theory
LDPC block and convolutional codes based on circulant matrices
IEEE Transactions on Information Theory
Distance Bounds for an Ensemble of LDPC Convolutional Codes
IEEE Transactions on Information Theory
Hi-index | 0.00 |
A novel design approach is proposed for low-density parity-check convolutional codes (LDPC-CCs), that jointly optimizes the code, encoder and decoder to achieve high-throughput parallel encoding and decoding. A series of implementation-oriented constraints are applied to construct architecture-aware (AA) codes by introducing algebraic structures into the parity-check matrix. The resulting AA codes have bit error rate performance comparable to other published LDPC-CCs. Given these AA LDPC-CCs, new architectures are proposed for a parallel LDPC-CC encoder with built-in termination and an LDPC-CC decoder that is parallel in the node dimension as well as pipelined in the iteration dimension. ASIC synthesis results for a 90-nm CMOS process show that the proposed encoder and the decoding processor achieve 2.0-Gbps throughputs at 250-MHz clock frequencies within silicon areas of 0.1 mm2 and 1 mm2 respectively.