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机构地区:[1]西北工业大学声学工程研究所,陕西西安710072
出 处:《系统仿真学报》2007年第23期5469-5472,共4页Journal of System Simulation
基 金:西北工业大学青年教师创新基金(M016207)
摘 要:对于时变水声信道,迭代步长的取值对均衡算法的收敛特性影响较大,步长的自适应参数选取解决了上述问题,但随之而来的是计算量的显著增加。提出了一种自适应均衡算法,该算法根据均方误差切换准则在两种算法之间进行切换。对不同水声信道进行了大量的计算机仿真,结果验证了本算法的有效性。该算法解决了时变信道迭代步长选取困难的问题,同时将均衡计算量降低了30%,更适合快速变化水声信道下的实时通信。The performance of equalization algorithm on different channels is sensitive to the choice of step-size or forgetting factor. To overcome this problem, self-optimized algorithm may be used, but this results in increased complexity. A new equalization algorithm was proposed which had an algorithm transition under a mean square error (MSE) rule. Simulation results on different underwater acoustic channels show that, unsuitable step-size causes algorithm diverge, while the approach has robust convergence performance. At the same time it can decrease 30% computation complexity compared with FOLMS algorithm. This algorithm is particularly suitable for real-time implementation under time-variety underwater acoustic channels for its low computational load and self-adaptive behavior.
分 类 号:TN911.5[电子电信—通信与信息系统]
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