Modified on-demand belief propagation algorithm for decoding of low-density parity-check convolutional codes

摘要

A modified on-demand belief propagation (BP) algorithm is proposed for decoding of low-density parity-check convolutional codes. The modification improves the efficiency of the on-demand BP algorithm updating the variable information by applying the feedback information at each iteration. A BER performance better than that of the on-demand BP algorithm can be achieved, while the decoding latency is effectively reduced.