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the information related to a certain bit carried by sources other than the channel output itself related to this specific bit Hence the extrinsic information is only influenced by the first decoder, which is then interleaved in order to generate the apriori LLR information L,1 For the sake of presenting the information to the second decoder in the right order, the systematic bits are interleaved in order to form the soft channel outputs as depicted in Figure 53 Subsequently, the second decoder utilizes not only the soft channel outputs but also the independent a priori LLR values L,1, from the first decoder in order to produce the a posteriori LLR LF2 This a posteriori LLR value is improved at this stage, since it was influenced by the estimates of both decoders.

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As before, the extrinsic information of the second decoder L:2, is generated by subtracting the channel information and the a priori information of the first decoder This essentially removes any contribution generated by the first decoder, when producing the a priori information La2, of the second decoder, which is used in the first decoder for the subsequent iteration This subtraction process allows us to maintain the independence of the decoding process, which is important for the sake of attaining independent estimates from the two separate decoders for each decoded bit This process constitutes one turbo decoding iteration and it is repeated, in order to achieve better consecutive estimates of the decoded bits After each iteration, the output a posteriori LLR is improved, since the decoder can exploit the independent a priori information generated by the other decoder.

In a homogeneous flow situation, the Fokker-Planck equation (4.127) corresponds to the stochastic differential equation

Consequently, as the number of iterations increases, the estimation of the decoded bit improves The performance of the turbo decoder will vary depending on the size of the turbo interleaver, where a larger interleaver will provide a higher degree of independence of the a priori information that is being passed from one decoder to another This high degree of independence is exploited by both decoders in order to yield an improved decoding performance The number of iterations also plays an important role, where a higher numberof iterations will generally result in a better performance, although at the expense of a higher complexity However, the gain achieved by each iteration reduces with increasing numbersof iterations, which will be exemplified by Figure 54 This is because the two decoders information becomes more dependent on each other, diminishing the benefits of acquiring two opinions concerning a given received bit.

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In the next section, the implementation of turbo coding in a wideband AQAM scheme is highlighted..

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