摘要
利用超指数算法收敛速度快的优点,对判决反馈盲均衡算法的前向权向量的迭代式进行了修正,提出了一种新的判决反馈盲均衡算法。该算法具有收敛速度快,跟踪性能好等特点。通过水池实验,获得了符合盲均衡算法统计特性的BPSK数据,对所提出的算法与自适应判决反馈均衡算法,常数模盲均衡算法等进行了对比分析。结果表明,该算法可以有效的降低误码率,且收敛速度要优于其他算法,可靠实现了对多途水声信道的均衡。
Based on the fast convergence speed characteristic of Super-exponential algorithm, a decision feedback structure blind equalizer is proposed, which is derived by revising the iteration equation of forward weight vector for decision feedback structure blind equalizer. The proposed method is with the fast convergence speed and good performance for tracking. By tank experiments, BPSK data is obtained with the required statistical characteristics for blind equalizers. Using the experimental data, comparison study on the performance of the proposed algorithm, the adaptive equalizer with decision feedback structure and constant modulus blind equalizers is carried out. It is shown that the proposed method can achieve a lower BER (Bit Error Rate) and faster convergence speed.
出处
《声学学报》
EI
CSCD
北大核心
2004年第5期414-418,共5页
Acta Acustica
基金
国家自然科学基金(60372086)
国防科技重点实验室基金(51444010201HK0302)资助项目
关键词
判决反馈盲均衡算法
收敛速度
水声信号
误码率
信号分析
Algorithms
Bit error rate
Convergence of numerical methods
Data transfer
Iterative methods
Underwater acoustics
