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Two iterative processes (inside the turbo decoder, and between the MIMO detector and the turbo decoder) are involved in iterative MIMO turbo code receivers.
The decoder convergence measures the decoding capability of the decoder.
The second configuration uses a new schedule that performs a total number of eight iterations inside the turbo decoder distributed equally across the outer iterations.
However, when performing two inner iterations inside the turbo decoder, the convergence point can be attained by performing four outer iterations.
In the first configuration, an original schedule that performs eight inner iterations inside the turbo decoder for each outer iteration is considered.
The best trade-off scheduling of the required number of iterations is therefore I out iterations in the outer loop and a total of eight iterations inside the turbo decoder distributed across these I out iterations.
By varying the order of inner iterations, we find that a good solution is to perform two inner iterations inside the turbo decoder for each of the four outer iterations.
Furthermore, as shown in Figure 6a, in the case of STS-SD, at E b /N 0=1 dB with eight iterations inside the turbo decoder, the tunnel is open and hence applying outer iterations will lead to the intersection of the two characteristic curves at moderate mutual information level.
Whereas these referenced papers make use of the approximate APPs inside the iterative decoder, we focus on using the approximate APPs only in the iterative estimation algorithm and use the standard Viterbi algorithm (which does not need symbol APPs) for decoding.
For example, performing five inner iterations inside the turbo decoder in the first outer iteration, then one iteration in the remaining outer iterations shows a degradation about 0.2∼0.25 dB compared to the case when five inner iterations are performed in the last outer iteration.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com