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Performance of Channel Information Estimation Method Utilizing Parity Check Bits for Turbo Coded Multi-route Multi-hop Networks

机译:利用Turbo编码多路多跳网络的奇偶校验位的频道信息估计方法的性能

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Recently, sensor networks have been drawing many attentions. The networks can be applicable to many communication systems such as emergency communications, intelligent transportation systems, and so on. They could have a multi-route multi-hop structure by the signal relaying via multiple sensor nodes. Since the wireless links have very severe condition for the communications, a method which can maintain the quality of the links is required. Forward error correction techniques and turbo codes are effective ways to prevent performance degradation by the wireless links. In the multi-hop multi-route structure, the route diversity can be enhanced by using the error correction codes. For the decoding process of the turbo codes, the receiver should estimate the channel information to obtain high decoding performance. Although many channel information estimation methods are not applicable to the multi-hop structure, the channel information estimation method utilizing parity bits can be applied. In this paper, we investigate the route diversity effect of the channel information estimation scheme. We also provide performance comparison between the proposed scheme and the pilot aided scheme. The results suggest that the proposed scheme is effective in obtaining the route diversity.
机译:最近,传感器网络一直在绘制许多关注。网络可以适用于许多通信系统,如紧急通信,智能运输系统等。它们可以通过多传感器节点通过信号中继来具有多路径多跳结构。由于无线链路具有非常严重的通信条件,因此需要一种能够维持链路质量的方法。前向纠错技术和Turbo代码是防止无线链路性能下降的有效方法。在多跳多路径结构中,可以通过使用纠错码来增强路线分集。对于Turbo代码的解码过程,接收器应该估计信道信息以获得高解码性能。尽管许多频道信息估计方法不适用于多跳结构,但是可以应用利用奇偶校验比特的信道信息估计方法。在本文中,我们研究了通道信息估计方案的路径分集效应。我们还提供所提出的计划与试点辅助方案之间的性能比较。结果表明,该方案在获得路线多样性方面有效。

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