摘要
为实现运载器快速机动发射,运载器与地面测试系统突破传统电缆束缚,采用无线通信方式进行信息交互。随着无线通信速率的不断提高,尤其是在多径干扰和敌方干扰下信道呈现出频率选择性衰落,接收端将产生严重的码间干扰(ISI),系统误码率难以满足运载器与地面测试系统通信需求。为此研究了恒模盲均衡算法(CMA),并在此基础上提出了改进的CMA算法,理论分析与仿真结果表明,改进算法能有效抑制噪声,收敛速度快,稳态均方误差更小,均衡后的信号恢复效果明显。
Aiming at achieving carrier rapid and flexible lunch,the traditional cable constraints are broken by carrier and ground test systems by using wireless communication for information exchange. With the increase of wireless communication rate,in particular,the channel exhibits frequency-selective fading under multipath interference and enemy interference. The receiver has serious ISI,and the system bit error is different to meet requirements of the carrier and ground test system communication. For this reason,the CMA blind equalization algorithm is studied. On the basis of this algorithm,the optimization design is proposed.Theoretical analysis and simulation results shows that the improved algorithm can effectively suppress the noise and has fast convergence,and the mean square error of the steady state is smaller and the signal recover effect after the equalization is obvious.
作者
李健
刘经宇
刘丽霞
陈亮
郭梓甲
Li Jian;Liu Jingyu;Liu Lixia;Chen Liang;Guo Zijia(Beijing institute of Control and Electronic Technology,Beijing 100038,China)
出处
《航天控制》
CSCD
北大核心
2018年第4期89-93,共5页
Aerospace Control
关键词
运载器通信
码间干扰
盲均衡算法
均方误差
Carrier communication
ISI
Blind equalization algorithm
Mean square error
