Adaptive Kalman Filtering for Local Mean Power Estimation in Mobile Communications

被引：0

作者：

Kurt, T. ^{[1
]}

Lerbour, R. ^{[1
]}

Le Helloco, Y. ^{[1
]}

Breton, B. ^{[1
]}

机构：

[1] Ericsson TEMS, Ottawa, ON K2K 3G7, Canada

来源：

2006 IEEE 64TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6 | 2006年

关键词：

Local mean power estimation; windowing; Kalman filter; parameter estimation; power control; signal strength estimation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we investigate the local mean signal estimation problem for wireless communications. Recently, it has been shown that the Kalman filtering approach results in better power estimates when compared to the traditional window based approaches for mean power estimation. In our work, we extend the Kalman filtering approach to adaptive Kalman filtering by combining the Kalman filtering with the window based filtering. Hence, Kalman filtering became available for practical use. The filter has been tested with field measurements and shown to outperform window based techniques.

引用

页码：1415 / 1418

页数：4

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