An Algorithm for Estimation and Tracking of Distributed Diffuse Scattering in Mobile Radio Channels
An Algorithm for Estimation and Tracking of Distributed Diffuse Scattering in Mobile Radio Channels
复制标题
移动无线电信道中分布式漫散射的估计和跟踪算法
DOI：
10.1109/spawc.2006.346497
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
V. Koivunen
中科院分区：
文献类型：
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作者：
A. Richter;J. Salmi;V. Koivunen
未来的无线通信系统将利用无线传播环境中丰富的空间和时间弥散特性。这需要新的高级通道模型，需要通过真实的通道探测测量进行验证。在这种情况下，从测量数据中可靠地估计和跟踪模型参数尤其令人感兴趣。本文建立了状态空间模型，并利用扩展卡尔曼滤波对移动无线电信道的分布式漫反射分量参数进行了跟踪。扩展卡尔曼滤波用于及时捕获信道参数的动态变化，并与现有的估值器相比降低了估计器的计算复杂度。所提出的估计器可以与现有的基于最大似然方法(SAGE/RIMAX)或卡尔曼滤波的镜面/集中传播路径估计技术相结合。利用模拟数据和测量数据验证了该算法的性能
Future wireless communication systems will exploit the rich spatial and temporal dispersion of the radio propagation environment. This requires new advanced channel models, which need to be verified by real-world channel sounding measurements. In this context the reliable estimation and tracking of the model parameters from measurement data is of particular interest. In this paper, we build a state-space model, and track the parameters of the distributed diffuse scattering component of the mobile radio channel using the extended Kalman Filter. The extended Kalman Filter is applied to capture the dynamics of the channel parameters in time and to reduce the computational complexity of the estimator compared to existing estimators. The proposed estimator can be combined with existing techniques for the estimation of specular/concentrated propagation paths, which are based on the maximum likelihood approach (SAGE/RIMAX) or the Kalman Filter. The performance of the algorithm is demonstrated using both simulated and measured data