中文摘要：

在这篇论文，我们处理追踪发生在活动收音机通讯的线性回归隧道模型的顺利变化时间的参数的问题。在考虑下面的系统与含糊的统计特征与围住的协变性和噪音受到变化时间的系数不确定性。追踪的问题的目的是发现过滤器参数以便追踪的表演，定义为追踪的错误的最少的吝啬的平方，被优化。处理问题的关键是追踪的问题被转变成过滤的并且用一个设计公式。一条多项式途径基于答案因为追踪的愿望被开发。柔韧的过滤器设计在这建议纸可以比没有随机的系数不确定性，为系统设计的标准最佳的过滤器有稍微更高计算的复杂性。然而，追踪的表演被改进。

英文摘要：

In this paper, we deal with the problem of tracking smoothly time-varying parameters of linear regression channel models occurring in mobile radio communications. The system under consideration is subjected to time-varying coefficient uncertainties with bounded covariances and noises with inexplicit statistical characteristics. The objective of the tracking problem is to find the filter parameters such that the tracking performance, defined as the least mean square of the tracking error, is optimized. The key to the addressed problem is that the tracking problem is transformed into a filtering one and using a projection formula. A polynomial approach based solution for the tracking will be developed. The robust filter design proposed in this paper may have slightly highercomputational complexity than the standard optimal filter designed for systems without random coefficient uncertainties. However, the tracking performance is improved.