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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Data Detection Algorithms for BICM Alternate-Relaying Cooperative Systems With Multiple-Antenna Destination
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Data Detection Algorithms for BICM Alternate-Relaying Cooperative Systems With Multiple-Antenna Destination

机译:具有多天线目标的BICM备用中继协作系统的数据检测算法

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摘要

This paper proposes two new data detection algorithms for decode-and-forward alternate-relaying cooperative communication systems. These algorithms are discussed in the context of bit-interleaved coded modulation transmission with a multiple-antenna destination. The interference signal, resulting from the concurrent transmission of the source and one of the relays, is exploited as a beneficial resource to develop an optimal data detection algorithm. We show that the optimal algorithm can be implemented by parallel demappers, each based on a family of Bahl, Cocke, Jelinek, and Raviv algorithms, connected to parallel decoders in an iterative way. Due to the need to buffer the entire frame before decoding, the optimal algorithm suffers from long processing time. A suboptimal algorithm is also proposed to avoid this problem, where each packet is decoded by using two consecutive received packets. The suboptimal algorithm reduces processing time, complexity, bandwidth loss, and memory size with a slight increase in the bit error rate (BER). The BER performance of the proposed algorithms is evaluated via Monte Carlo simulations, and the results indicate their effectiveness in improving the BER performance.
机译:本文提出了两种用于解码转发交替中继协作通信系统的新数据检测算法。在具有多天线目标的比特交织编码调制传输的上下文中讨论了这些算法。源和一个中继的并行传输产生的干扰信号被用作开发最佳数据检测算法的有益资源。我们展示了可以通过并行解映射器实现最佳算法,每个并行解映射器基于Bahl,Cocke,Jelinek和Raviv算法家族,以迭代方式连接到并行解码器。由于需要在解码之前对整个帧进行缓冲,因此最佳算法的处理时间较长。还提出了次优算法来避免此问题,在该问题中,使用两个连续的接收数据包对每个数据包进行解码。次优算法减少了处理时间,复杂性,带宽损失和内存大小,而误码率(BER)略有增加。通过蒙特卡洛仿真评估了所提出算法的BER性能,结果表明了它们在提高BER性能方面的有效性。

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