大型户外传感网络通信码间抑制抗干扰仿真

Large Outdoor Sensor Network Communication Intersymbol Suppress Interference Simulation

在进行大型户外传感网络通信优化过程中,由于户外传感环境复杂,线路信号分布无法做到均匀,在相距较近的线路之间具有较强的耦合性,当通信数据量较大时,网络节点通信码间极易出现相互干扰的现象,传统的抗干扰方法进行干扰抑制时,没有很好的对信号进行分解,仅仅以阀值理论进行分类限制,抗干扰性能较差。提出采用神经网络算法的大型户外传感网络通信码间抑制抗干扰的方法。构建大型户外传感网络的抗干扰模型,为网络通信码间的干扰抑制提供有效依据,根据神经网络算法理论,分别对待处理网络通信信号进行小波分解、阈值量化及信号重构,完成对大型户外传感网络通信码间的干扰抑制。实验结果表明,采用改进算法进行网络通信码间的干扰抑制,能够有效降低误码率,提高信号输出的信噪比,有效的提高网络通信性能。

In large outdoor sensor network communication process,due to the complexity of environmental outdoor sensor,signal is uniform distribution cannot do,in close distance between the lines of strong coupling,when large amounts of data communication,network node communication between code easy to appear the phenomenon of interference,anti-interference methods with traditional interference suppression,no good for signal decomposition,only to classify limit threshold theory,poor anti-jamming performance. Based on neural network algorithm of large outdoor sensor network communication intersymbol inhibit anti-jamming methods. Anti-interference of the construction of large outdoor sensor network model for network communication intersymbol interference suppression to provide effective basis,according to the theory of neural network algorithm,respectively dealing with network communication signal wavelet decomposition and threshold quantization and signal reconstruction,complete the large outdoor sensor network communication intersymbol interference suppression. The experimental results show that the improved algorithm for network communication intersymbol interference suppression,can effectively reduce the bit error rate,improve the signal-to-noise ratio of the signal output,effectively improve the performance of the network communication.