基于遗传算法的BICM互信息和误码率优化研究

2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2014-06-22 DOI:10.1109/SPAWC.2014.6941465

Benjamin Müller, Bjom Zessack, U. Zölzer

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引用次数: 1

摘要

我们建议使用遗传算法来优化八星信号星座。在加性高斯白噪声信道(AWGN)中，对星座进行了高比特交错编码调制(BICM)互信息或低误码率(BER)的优化。在BICM互信息为2 bit/symbol的情况下，我们得到了一个比8-cross高0.25 dB的星座。在误码率为10-3的情况下，优化后的低误码率星座比8叉星座的信噪比低0.4 dB。

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Optimization of BICM mutual information and bit error rate of 8-ary signal constellations using genetic algorithms

We propose the use of genetic algorithms for optimizing 8-ary signal constellations. The constellations are either optimized for a high bit interleaved coded modulation (BICM) mutual information or a low bit error rate (BER) in the additive white Gaussian noise channel (AWGN). We obtained a constellation that outperforms the 8-cross by 0.25 dB for a BICM mutual information of 2 bit/symbol. The optimized constellation for a low bit error rate requires a 0.4 dB lower SNR compared to the 8-cross for a BER of 10-3.

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2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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