Abstract: In order to solve the waiting problem of data transmission in the process of orthogonal communication, a non-orthogonal network coding strategy for complex field distributed detection based on super node Multiple Access Channel (MAC) relay was proposed. Firstly, the classical orthogonal channel distribution detection technology was introduced, and aiming at its existing problems, the relay MAC was used in wireless sensor networks, and the complex network coding technology was also used in wireless sensor networks, which contributed to achieve cooperative diversity to reduce the adverse effects of channel fading. Secondly, according to the relay MAC complex field network coding based orthogonal channel distribution detection technology, a Maximum Likelihood (ML) optimal sensor label selection algorithm based on network symbol error probability was proposed to reduce error probability, which considered the false alarm rate and detection probability of sensor. At the same time, the fair distribution of relay power and total transmit power was obtained by the super node approximation. The simulation results show that, in the detection of non-orthogonal network coding, the detection rate of the proposed algorithm can achieve 91.3%, and the error rate is only 25.1%. The proposed algorithm can effectively improve the detection performance of non-orthogonal network coding algorithm in practical applications.

Key words: super node, wireless relay, distributed detection, non-orthogonal, network coding, complex field

摘要： 为解决正交通信过程存在的数据发送等待问题，提出一种基于超级节点多接入信道（MAC）中继的复域分布检测非正交网络编码策略。首先，对经典正交信道分布检测技术进行介绍，并针对其存在的问题，使用中继MAC无线传感器网络，把复数域网络编码技术应用在无线传感器网络中，有助于实现协同分集降低信道衰落不利影响。其次，针对中继MAC复数域网络编码正交信道分布检测技术，基于传感器的虚警率和检测概率，提出结合网络符号差错概率的最大似然（ML）最佳传感器标签选择算法，降低误差概率，同时通过超级节点近似，获得中继功率和总发射功率的公平分配。仿真结果显示，该算法在非正交网络编码检测中，检测率指标可达到91.3%，而错误率指标仅为25.1%。实验结果表明，该算法可以有效地提高非正交网络编码算法在实际应用中的检测性能。

关键词: 超级节点, 无线中继, 分布检测, 非正交, 网络编码, 复数域