On importance sampling for iteratively decoded linear block codes
Nuo Wang, Rajan Srinivasan · 2005
We introduce an importance sampling (IS) scheme for fast performance evaluation of the linear block codes with message-passing decoding. This novel scheme overcomes the existing difficulties in IS to some extent when code length is large and requires codebook information. Experiments show very high IS gains for iteratively decoded linear block codes such as single parity-check (SPC) codes and block product codes, as well as low density parity-check (LDPC) codes. We also provide a scheme based on our IS method to find the minimum Hamming distance and pick up those codewords which are very useful when calculating asymptotic performance.