摘要
为了提高无线传感网络中大数据传输质量,文中提出一种基于波特间隔扩频的大数据传输信道均衡算法。采用直接序列扩频和波特间隔均衡技术进行无线传感器网络大数据传输的信道均衡设计,采用无线传感器量化融合跟踪方法进行无线传感器网络大数据传输的调制解调算法设计,根据大数据传输的码间干扰强度进行扩展Kalman滤波控制,利用无线传感器网络大数据传输信道的频域特性进行多径扩展,实现无线传感器网络大数据传输优化设计。仿真结果表明,采用该方法进行无线传感器网络大数据传输能有效降低数据传输的误比特率,提高无线传感器网络大数据传输的质量。
In order to improve the transmission quality of big data in wireless sensor networks,this paper presents an algorithm for the transmission channel equalization based on baud-spaced spread spectrum.The channel equalization of big data transmission in wireless sensor network is designed by using direct sequence spread spectrum(DSSS)and baud-spaced equalization technology.The modulation and demodulation algorithm of big data transmission in wireless sensor network is designed by using wireless sensor quantization fusion tracking method,and the extended Kalman filter control is carried out according to the intensity of inter-symbol interference transmitted by big data.By using the frequency domain characteristic of big data transmission channel in wireless sensor network,the optimal design is realized.The simulation results show that the proposed method can effectively reduce the bit error rate of data transmission and improve the transmission quality of big data wireless sensor network.
作者
林伟烜
LIN Wei-xuan(Guangzhou Huali Science and Technology Vocational College,Guangzhou 511325,China)
出处
《信息技术》
2019年第4期73-76,81,共5页
Information Technology
关键词
波特间隔均衡
直接序列扩频
大数据
通信
无线传感器网络
baud-spaced equalization
direct sequence spread spectrum
big data
communication
wireless sensor network
