基于DDEA算法的短波信道Turbo均衡研究  

Research on Turbo Equalization Based on DDEA Algorithm in HF Channel

作　　者：孟庆萍[1] 周新力[1] 田伟[1] 

机构地区：[1]海军航空工程学院,山东烟台264001

出　　处：《无线电通信技术》2011年第6期28-32,共5页Radio Communications Technology

摘　　要：针对数据引导均衡算法(DDEA)的缺陷,受到Turbo均衡中迭代思想的启发,提出一种基于数据引导均衡技术的短波迭代信道估计、均衡和译码算法,不仅均衡和译码之间互相传递软信息,信道估计器使用的也是译码器反馈的软信息,通过每次迭代时软信息质量的改善,提高系统的可靠性;通过多次迭代信道估计器输出的信道参数很接近当前帧的实际信道,可使均衡输出与实际发送序列的均方误差足够小,而且,信道估计器多次迭代等效于使用足够长的训练序列调整信道参数,确保了估计器的收敛。通过Matlab仿真验证了算法的工作性能。To overcome the deficiency in data-directed equalization algorithm, enlightened by the idea of iteration in Turbo equalizaion, an iterative channel estimation, equalization and decoding algorithm based on data-directed equalization technique in HF channel is proposed. Soft information is not only delivered between equalizer and decoder, but also used by channel estimator. The reliability is raised because of the improvement of quality of soft information. The channel parameters returned from channel estimator are close to the real channel parameters of the current frame because of multiple iteration, which minimizes the mean square error between the estimated symbol and the transmitted symbol. According to multiple iteration, the length of the training sequence is enlarged, which ensures the convergency of the estimator.

关 键 词：帧数据处理 数据引导均衡 TURBO均衡 软信息 短波信道 

分 类 号：TN911[电子电信—通信与信息系统]