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摘要: 针对无线移动通讯系统的时变参数跟踪问题, 建立了带有随机不确定的线性回归信道模型, 提出了一种基于多项式方法的跟踪算法. 该算法把时变无线移动信道参数跟踪问题转化为利用射影公式求解的滤波问题, 使得设计出的滤波器参数满足最小均方跟踪误差最小. 与传统的无随机不确定系统的最优滤波器设计相比较, 本文提出的鲁棒滤波器设计方法在计算量方面稍有增加, 但是信道参数的跟踪性能大大提高.Abstract: 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.
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Key words:
- Robust filtering /
- polynomial approach /
- spectral factorization /
- random uncertainty
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