Abstract
Minimum Hamming distance, dm, has been widely used as the yardstick for the performance
of permutation codes (PCs). However, a number of PCs with the same dm and cardinality can have
different performances, even if they have the same distance optimality. Since PC is a robust channel
coding scheme in power line communications applications, we present a simple and fast ranking method
that predicts the relative performance of PCs, by using the information extracted from their Hamming
distance distributions. This tool is useful for selecting an efficient PC codebook out of a number of
similar ones.