Soft-Decision Statistical Decoder for Coded DHA FH OFDMA

Statistical decoders have good performance in channels with very low signal to interference ratio (SIR) such as uncoordinated multiple access systems like Dynamic Hopset Allocation Frequency Hopping OFDMA (DHA FH OFDMA). But there was no soft-output statistical decoder developed before. In this work we present such decoder. To get accurate likelihood values we also need to change the structure of statistical decoders. We estimate the performance of the proposed decoder by simulating a concatenated code with outer convolutional code. Having soft decision increases energy gain by 1.5 dB.