Abstract
In this article, we present the effect of interleaver size on the performance of a turbo decoder using a stopping criterion to reduce complexity and decoding time. We choose the two criteria CE and IHDA. The interleavers used are pseudo-random interleavers, S-Random, of sizes 5120 and 1280. The simulation results show that the IHDA criterion uses the lowest average iteration number in medium and high Signal-to-Noise Ratios SNR. Increasing the size of the interleaver also provides significant coding gain
Highlights
Turbo codes [1] have shown that they are powerful codes for digital communications
We present the effect of interleaver size on the performance of a turbo decoder using a stopping criterion to reduce complexity and decoding time
The simulation results show that the IHDA criterion uses the lowest average iteration number in medium and high Signal-to-Noise Ratios SNR
Summary
Turbo codes [1] have shown that they are powerful codes for digital communications. They have been adopted in several modern telecommunications systems. Several stopping criteria for turbo decoding are proposed in the literature [2,3,4,5,6,7,8,9,10,11,12,13,14] Among these criteria, we can cite the famous Cross-Entropy criterion CE [2] [14] and the Improved Hard Decision Aided IHDA [5] criterion which offer acceptable performances in turbo decoding with reasonable complexity. Turbo-codes are parallel concatenated codes, approaching the Shannon limit Their performances are highly dependent on the size of the used interleaver. When we integrate a stopping criterion to the turbo decoder, the behaviour differs depending on the size of the interleaver. The article is structured as follows: In section 2 and 3, we present turbo decoder and some existing stopping techniques. We use the MAP algorithm [16] for the decoders 1 and 2 (Figure 1)
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