无人机数据链信道均衡算法仿真研究  

Simulation Research on Equalization Algorithm of UAV Data Link

作　　者：姚安[1] 陈自力[1] 

机构地区：[1]军械工程学院无人机工程系,河北石家庄050003

出　　处：《计算机仿真》2014年第11期42-46,共5页Computer Simulation

基　　金：装备预研基金重点项目(9140A25031012DZ64075)

摘　　要：研究无人机数据链信息传输和信息处理问题,针对无线通信中的符号间干扰问题,将Turbo迭代处理技术应用于接收机中的均衡和解码过程,同时考虑实调制信号在复信道中的传输特性以及传统MMSE算法存在的缺陷,提出采取宽线性的信号处理算法,由宽线性最小均方误差(Widely Linear-MMSE,WL-MMSE)迭代算法,推导具有迭代思想的均衡算法,给出算法在两种信道下的性能仿真,在短帧传输条件下和复系数信道中,WL-MMSE算法取得了较优异的性能,与MMSE算法相比,三次迭代后,算法约有0.3d B的增益。结果表明,Turbo均衡技术实现了接收系统解调、均衡与译码的联合优化,为提高无人机数据链性能奠定了技术基础。Study the transformation and processing of UAV data link information, For the intersymbol interference in the wireless communication, turbo iterative technology was applied in the receiver＇s process of equalization and decoding, meanwhile, the characteristics of real signals through the complex channel and the drawback of traditional MMSE algorithm were considered herein. A widely linear signal processing algorithm was adopted and a widely linear minimum mean square error（WL-MMSE） iterative algorithm was presented in this paper, which was applied in turbo equalization. Its performance was displayed under the two kinds of channels sinmlation and the condition of short frame transmission. The excellent performance is obtained with O. 3 dB gain after three iterations, compared with MMSE algorithm in the complex channel. Meanwhile, according to the research, the turbo equalization technology realizes the associated optimization of demodulation, equalization and decoding in the receiving system, and lays a technical foundation for improving the UAV data link＇s performance.

关 键 词：无人机数据链 迭代均衡 宽线性最小均方误差 优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]