Iterative Detection for MIMO Systems Associated with Polar Codes

M. Diouf, I. Diop, I. Dioum, K. Tall, S. M. Farssi
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引用次数: 1

Abstract

The tools of information theory (error correcting codes) are exploited to improve the detection of MIMO channels. In particular, we use the polar codes, which currently represent the first and only code family to reach Shannon's two limits on channel and source coding. Our proposal consists in using a medium-length polar encoding, a detection minimizing the mean squared error by successive interference cancellation (MMSE- SIC) and a Successive Cancellation (SC) decoder.To improve the reliability of the information over the iterations, we added an iterative (turbo-equalization) process between the SC decoder and the MMSE-SIC detector. We have shown that the association of the SC decoder with the MMSE-SIC detector can reduce the Bit Error Rate (BER) instead of Believe Propagation (BP) decoding. This has increased the diversity and the ability to correct.
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基于极化码的MIMO系统迭代检测
利用信息论的工具(纠错码)来改进MIMO信道的检测。特别是,我们使用极性码,它目前代表了第一个也是唯一一个达到香农对信道和源编码的两个限制的码族。我们的建议包括使用中长度极性编码,通过连续干扰抵消(MMSE- SIC)最小化均方误差的检测和连续抵消(SC)解码器。为了提高迭代过程中信息的可靠性,我们在SC解码器和MMSE-SIC检测器之间添加了迭代(涡轮均衡)过程。我们已经证明SC解码器与MMSE-SIC检测器的关联可以降低误码率(BER)而不是相信传播(BP)解码。这增加了多样性和纠正的能力。
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