Open-set blind recognition of non-binary LDPC codes

Blind encoder recognition methods have drawn much research interest in recent years, as they can play an important role in non-cooperative scenarios. This paper proposes an open-set blind recognition method for non-binary Low-Density Parity-Check (LDPC) codes with high performance. We derive the principle of obtaining a non-binary Parity-Check Matrix (PCM) from the received signal and further apply the Gauss-Jordan Column Elimination (GJCE) over G F ( q ) . An iterative process involving GJCE, LDPC decoding, and PCM sparsification is applied in our proposed method. The proposed symbol-level blind recognition is shown to perform much better than the bit-level one. Experimental results demonstrate that our proposed method can completely reconstruct the PCMs at a bit error rate of 0.4% for the moderate-length non-binary LDPC codes.