短距离无线通信系统的冲突信号分离与解码

Collision Signal Separation and Decoding for Short-range Wireless Communication System

  • 摘要: 短距离通信是物联网中常用的通信方式,多是一传感节点对多物理节点的情形,由于其采用无线共享信道,因此多个信源一起传输必导致冲突发生。通常,该冲突采用随机多址方法解决,但通信效率并不高。采用信号分离和编解码技术可直接从冲突信号中恢复出信源,因此可显著提高通信效率,但该方法需要预知或估计信号衰落系数才能保证良好的性能。本文提出一种有限符号分离的维特比解码方法,该方法通过估计字典矩阵,无需预知衰落系数就能准确提高恢复冲突信号。实验中,我们分别用仿真和软件无线电构建了一个基于FM0码的超高频短距离无线通信系统,实验结果表明本文提出的方法吞吐量达到了约0.61,相比传统的ALOHA系统吞吐量提高了约0.25。

     

    Abstract: In Internet of thing, short-range communication is a common communication system, where a sensor node will collect signals from multiple physical nodes. Because the system uses a wireless shared channel, signal transmissions together from multiple sources will cause collision. Usually, the collision is resolved by a random multiple access method, but the communication efficiency is not high. Signal separation and coding technology can directly recover the source from the collision signals, so it can significantly improve the communication efficiency. However, the method requires predicting or estimating signal fading coefficients to ensure good performance. This paper proposes a Viterbi decoding method with finite symbol separation, which can accurately recover the collision signal without the fading coefficients, through estimating the dictionary matrix. In the experiment, we establish two ultra-high frequency short-range wireless communication system based on FM0 code, using simulation and software radio, respectively. The experimental results show that the throughput of the proposed method arrives at about 0.61, which improves the traditional ALOHA system by bout 0.25.

     

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