Evaluating Distance Spectra for Turbo Codes

Researchers have developed handy tools to evaluate the ensemble-average of distance spectra for turbo codes, but evaluating distance spectra for an individual turbo code with a specific random interleaver remains computationally prohibitive. This paper develops a new way to efficiently tackle this problem. The new method enjoys low complexity, and generates more comprehensive spectra results than existing methods possibly.