摘要
为提高机载通信数据链系统传输的抗干扰性,提出基于粒子群(PSO)算法的机载通信数据链系统传输控制方法。利用大数据分析和特征提取模型,在缓存域内进行自适应加权均衡调节,构建传输信道模型。计算传输信道的冲激响应,对传输信号进行稀疏特征分解,实现传输信道的均衡控制。利用多径抗干扰模型和PSO寻优算法,提取通信链信道冲激响应特征,实现输出控制优化。实验结果表明,采用该方法在干扰条件下进行机载通信数据链系统传输控制的传输成功率可达到99%,数据传输时间为147ms,传输速率为72bps,性能较优越。
In order to improve the anti-interference of airborne communication data link system transmission,a transmission control method based on particle swarm optimization(PSO)algorithm is proposed.Using the big data analysis and feature extrac-tion model,the transmission channel model is constructed by adaptive weighted equalization adjustment in the buffer do-main.The impulse response of the transmission channel is calculated,and the sparse feature decomposition of the trans-mission signal is carried out to realize the balanced control of the transmission channel.Using multi-path anti-jamming model and PSO optimization algorithm,the impulse response characteristics of communication chain channel are extract-ed,and the output control optimization is realized.The experimental results show that the transmission success rate of air-borne communication data link system under interference conditions can reach 99%,the data transmission time is 147ms,and the transmission rate is 72bps,so the performance is superior.
作者
陈姮
梁洁
史艳伟
杨晨
CHEN Heng;LIANG Jie;SHI Yan-wei;YANG Chen(No.91206 Troops of PLA,Qingdao 266000 China)
出处
《自动化技术与应用》
2022年第3期81-84,95,共5页
Techniques of Automation and Applications
关键词
PSO算法
机载通信
数据链
传输控制
PSO algorithm
airborne communication
data link
transmission control