Research of RA Coding Algorithm Based on AWGN Channel

In order to study the performance of RA, and the impacts of iterations and code length to the compiled code characteristics, we respectively made simulation analysis on RA, LDPC and TURBO with different parameters. We did it by designing code length, rate and iterations to analyze signals to noise ratio changes. With three patterns comparing the simulation analysis, it turned out that volume reaches the limit of Shannon when RA is in the condition of maximum likelihood decoding. The bit error ratio reduces as the message length goes up, and the performance comes near channel capacity. As the iterations increase, and bit error ratio reduces, and the performance will be better. Research shows that RA has more advantages and wide application propects whether in complexity or in performance.