卷积信道编码与物理层网络编码的联合设计

The combination of convolution channel coding and physical layer network

针对无人机作为中继平台在异步通信条件下数据传输误码率高的问题,提出将物理层网络编码与卷积信道编码联合设计的方案。在方案中,中继节点引入置信传播(Belief Propagation)算法,将信道译码和网络编码联合起来,解决了符号偏移和相位偏移对通信系统的影响。仿真结果显示,该方案与未进行信道编码和RA码信道编码方式相比误码率最低,提高了系统的鲁棒性,可以更好地抵制相位偏移和符号偏移对通信系统的影响,提高无人机的抗干扰能力。

The project of jointing the physical layer network coding and convolution coding is proposed in solving the problem of data transmission error rate where UAV（Unmanned Aerial Vehicle） as a relay platform in asynchronous communication conditions. In the scheme, the relay nodes use the algorithm of Belief Propagation （BP）, and joint the channel decoding and network coding to- gether to resolve the impact of the communication system brought by symbol offset and phase offset. Simulation results show that the program＇s bit error rate（BER） is lowest compared with no channel coding and RA code channel coding. The program improves the robustness of the system and resists the impact of the communication system effectively eoused by the phase offset and symbol offset. As a result,it increases the drone noise immunity of UAV.